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update kernel tutorial
2015-07-19 14:30:27 -07:00
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<h2 id="A">A</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton">acclaim_skeleton (class in GPy.util.mocap)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController.activate">activate() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add">Add (class in GPy.kern._src.add)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.add">add() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.add">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.lists_and_dicts.ObserverList.add">(GPy.core.parameterization.lists_and_dicts.ObserverList method)</a>
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<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.add">(GPy.kern._src.add.Add method)</a>
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<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.add">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.diag.add">(in module GPy.util.diag)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.kernel_plots.add_bar_labels">add_bar_labels() (in module GPy.plotting.matplot_dep.kernel_plots)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized.add_parameter">add_parameter() (GPy.core.parameterization.parameterized.Parameterized method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Tie.add_tied_parameter">add_tied_parameter() (GPy.core.parameterization.ties_and_remappings.Tie method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.caching.Cacher.add_to_cache">add_to_cache() (GPy.util.caching.Cacher method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.additive.Additive">Additive (class in GPy.mappings.additive)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.adjust_name_for_printing">adjust_name_for_printing() (in module GPy.core.parameterization.parameter_core)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.base_plots.align_subplot_array">align_subplot_array() (in module GPy.plotting.matplot_dep.base_plots)</a>
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<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.base_plots.align_subplots">align_subplots() (in module GPy.plotting.matplot_dep.base_plots)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.maps.apply_bbox">apply_bbox() (in module GPy.plotting.matplot_dep.maps)</a>
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</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ArrayCoreTest">ArrayCoreTest (class in GPy.testing.parameterized_tests)</a>
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<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.lists_and_dicts.ArrayList">ArrayList (class in GPy.core.parameterization.lists_and_dicts)</a>
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<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.netpbmfile.NetpbmFile.asarray">asarray() (GPy.plotting.matplot_dep.netpbmfile.NetpbmFile method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.netpbmfile.NetpbmFile.asarray">(GPy.util.netpbmfile.NetpbmFile method)</a>
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</dl></dd>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.ListDictTestCase.assertArrayListEquals">assertArrayListEquals() (GPy.testing.pickle_tests.ListDictTestCase method)</a>
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<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.ListDictTestCase.assertListDictEquals">assertListDictEquals() (GPy.testing.pickle_tests.ListDictTestCase method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize.async_callback_collect">async_callback_collect() (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize">Async_Optimize (class in GPy.inference.optimization.conjugate_gradient_descent)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gradient_checker.at_least_one_element">at_least_one_element() (in module GPy.models.gradient_checker)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.authorize_download">authorize_download() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.base_plots.ax_default">ax_default() (in module GPy.plotting.matplot_dep.base_plots)</a>
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<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController">AxisChangedController (class in GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController">AxisEventController (class in GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller)</a>
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</dl></td>
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<h2 id="B">B</h2>
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<dt><a href="GPy.util.html#GPy.util.linalg.backsub_both_sides">backsub_both_sides() (in module GPy.util.linalg)</a>
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<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm.BayesianGPLVM">BayesianGPLVM (class in GPy.models.bayesian_gplvm)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch">BayesianGPLVMMiniBatch (class in GPy.models.bayesian_gplvm_minibatch)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.maps.bbox_match">bbox_match() (in module GPy.plotting.matplot_dep.maps)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.bcgplvm.BCGPLVM">BCGPLVM (class in GPy.models.bcgplvm)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.bcgplvm_linear_stick">bcgplvm_linear_stick() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.bcgplvm_stick">bcgplvm_stick() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli">Bernoulli (class in GPy.likelihoods.bernoulli)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.betaY">betaY() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.mixed_noise.MixedNoise.betaY">(GPy.likelihoods.mixed_noise.MixedNoise method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.bgplvm_oil">bgplvm_oil() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.bgplvm_simulation">bgplvm_simulation() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.bgplvm_simulation_missing_data">bgplvm_simulation_missing_data() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.bgplvm_test_model">bgplvm_test_model() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Bias">Bias (class in GPy.kern._src.static)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.mapping.Bijective_mapping">Bijective_mapping (class in GPy.core.mapping)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.non_gaussian.boston_example">boston_example() (in module GPy.examples.non_gaussian)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.boston_housing">boston_housing() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.boxjenkins_airline">boxjenkins_airline() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.tree.branch_str">branch_str() (GPy.util.mocap.tree method)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.brendan_faces">brendan_faces() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.brendan_faces">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.brownian.Brownian">Brownian (class in GPy.kern._src.brownian)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController">BufferedAxisChangedController (class in GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.multioutput.build_likelihood">build_likelihood() (in module GPy.util.multioutput)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.build_pydot">build_pydot() (GPy.core.parameterization.param.Param method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized.build_pydot">(GPy.core.parameterization.parameterized.Parameterized method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.multioutput.build_XY">build_XY() (in module GPy.util.multioutput)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="C">C</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.util.html#GPy.util.caching.Cache_this">Cache_this (class in GPy.util.caching)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.caching.Cacher">Cacher (class in GPy.util.caching)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.caching.Cacher_wrap">Cacher_wrap (class in GPy.util.caching)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Remapping.callback">callback() (GPy.core.parameterization.ties_and_remappings.Remapping method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize.callback">(GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.pca.PCA.center">center() (GPy.util.pca.PCA method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.CGD">CGD (class in GPy.inference.optimization.conjugate_gradient_descent)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.misc.chain_1">chain_1() (in module GPy.util.misc)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.misc.chain_2">chain_2() (in module GPy.util.misc)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.misc.chain_3">chain_3() (in module GPy.util.misc)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.check_kernel_gradient_functions">check_kernel_gradient_functions() (in module GPy.testing.kernel_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.check_model">check_model() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.debug.checkFinite">checkFinite() (in module GPy.util.debug)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.debug.checkFullRank">checkFullRank() (in module GPy.util.debug)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.checkgrad">checkgrad() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Gradcheckable.checkgrad">(GPy.core.parameterization.parameter_core.Gradcheckable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.linalg.cholupdate">cholupdate() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.cifar10_patches">cifar10_patches() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.clear">clear() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.clear">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.functions.clip_exp">clip_exp() (in module GPy.util.functions)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Cloglog">Cloglog (class in GPy.likelihoods.link_functions)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.netpbmfile.NetpbmFile.close">close() (GPy.plotting.matplot_dep.netpbmfile.NetpbmFile method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.data_show.close">(GPy.plotting.matplot_dep.visualize.data_show method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.matplotlib_show.close">(GPy.plotting.matplot_dep.visualize.matplotlib_show method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.vpython_show.close">(GPy.plotting.matplot_dep.visualize.vpython_show method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.netpbmfile.NetpbmFile.close">(GPy.util.netpbmfile.NetpbmFile method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.gpu_init.closeGPU">closeGPU() (in module GPy.util.gpu_init)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.cmu_mocap">cmu_mocap() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.cmu_mocap">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.cmu_mocap_35_walk_jog">cmu_mocap_35_walk_jog() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.cmu_mocap_49_balance">cmu_mocap_49_balance() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.cmu_urls_files">cmu_urls_files() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Tie.collate_gradient">collate_gradient() (GPy.core.parameterization.ties_and_remappings.Tie method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.CombinationKernel">CombinationKernel (class in GPy.kern._src.kern)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.combine_indices">combine_indices() (in module GPy.core.parameterization.index_operations)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.caching.Cacher.combine_inputs">combine_inputs() (GPy.util.caching.Cacher method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.subarray_and_sorting.common_subarrays">common_subarrays() (in module GPy.util.subarray_and_sorting)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA.compute_A">compute_A() (GPy.core.parameterization.priors.DGPLVM_KFDA method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA.compute_a">compute_a() (GPy.core.parameterization.priors.DGPLVM_KFDA method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.compute_cls">compute_cls() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA.compute_cls">(GPy.core.parameterization.priors.DGPLVM_KFDA method)</a>
</dt>
</dl></dd>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.inferenceX.InferenceX.compute_dL">compute_dL() (GPy.inference.latent_function_inference.inferenceX.InferenceX method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.compute_indices">compute_indices() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.compute_listIndices">compute_listIndices() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA.compute_lst_ni">compute_lst_ni() (GPy.core.parameterization.priors.DGPLVM_KFDA method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.compute_Mi">compute_Mi() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.compute_Sb">compute_Sb() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.compute_sig_alpha_W">compute_sig_alpha_W() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.compute_sig_beta_Bi">compute_sig_beta_Bi() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.compute_Sw">compute_Sw() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.compute_wj">compute_wj() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.conditional_mean">conditional_mean() (GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.poisson.Poisson.conditional_mean">(GPy.likelihoods.poisson.Poisson method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.conditional_mean">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.conditional_variance">conditional_variance() (GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.poisson.Poisson.conditional_variance">(GPy.likelihoods.poisson.Poisson method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.conditional_variance">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.classification.conf_matrix">conf_matrix() (in module GPy.util.classification)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.skeleton.connection_matrix">connection_matrix() (GPy.util.mocap.skeleton method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC.const_jitter">const_jitter (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.fitc.FITC.const_jitter">(GPy.inference.latent_function_inference.fitc.FITC attribute)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc.VarDTC.const_jitter">(GPy.inference.latent_function_inference.var_dtc.VarDTC attribute)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch.const_jitter">(GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.constrain">constrain() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.constrain">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.constrain_bounded">constrain_bounded() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.constrain_bounded">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.constrain_fixed">constrain_fixed() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.constrain_fixed">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.constrain_negative">constrain_negative() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.constrain_negative">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.constrain_positive">constrain_positive() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.constrain_positive">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.copy">copy() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.copy">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.observable_array.ObsAr.copy">(GPy.core.parameterization.observable_array.ObsAr method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.copy">(GPy.core.parameterization.param.Param method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Pickleable.copy">(GPy.core.parameterization.parameter_core.Pickleable method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized.copy">(GPy.core.parameterization.parameterized.Parameterized method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.examples.html#GPy.examples.regression.coregionalization_sparse">coregionalization_sparse() (in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.coregionalization_toy">coregionalization_toy() (in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.coregionalize.Coregionalize">Coregionalize (class in GPy.kern._src.coregionalize)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Coregionalize_weave_test">Coregionalize_weave_test (class in GPy.testing.kernel_tests)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Cosine">Cosine (class in GPy.kern._src.stationary)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.posterior.Posterior.covariance">covariance (GPy.inference.latent_function_inference.posterior.Posterior attribute)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.creep_data">creep_data() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.classification.crescent_data">crescent_data() (in module GPy.examples.classification)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.crescent_data">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.currentDark">currentDark() (in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.currentLight">currentLight() (in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.currentMedium">currentMedium() (in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="D">D</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.d2logpdf_df2">d2logpdf_df2() (GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.d2logpdf_df2_dtheta">d2logpdf_df2_dtheta() (GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli.d2logpdf_dlink2">d2logpdf_dlink2() (GPy.likelihoods.bernoulli.Bernoulli method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.exponential.Exponential.d2logpdf_dlink2">(GPy.likelihoods.exponential.Exponential method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gamma.Gamma.d2logpdf_dlink2">(GPy.likelihoods.gamma.Gamma method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.d2logpdf_dlink2">(GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.d2logpdf_dlink2">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.poisson.Poisson.d2logpdf_dlink2">(GPy.likelihoods.poisson.Poisson method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.d2logpdf_dlink2">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.d2logpdf_dlink2_dtheta">d2logpdf_dlink2_dtheta() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.d2logpdf_dlink2_dtheta">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.d2logpdf_dlink2_dtheta">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.d2logpdf_dlink2_dvar">d2logpdf_dlink2_dvar() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.d2logpdf_dlink2_dvar">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Cloglog.d2transf_df2">d2transf_df2() (GPy.likelihoods.link_functions.Cloglog method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.GPTransformation.d2transf_df2">(GPy.likelihoods.link_functions.GPTransformation method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Heaviside.d2transf_df2">(GPy.likelihoods.link_functions.Heaviside method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Identity.d2transf_df2">(GPy.likelihoods.link_functions.Identity method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Log.d2transf_df2">(GPy.likelihoods.link_functions.Log method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Log_ex_1.d2transf_df2">(GPy.likelihoods.link_functions.Log_ex_1 method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Probit.d2transf_df2">(GPy.likelihoods.link_functions.Probit method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Reciprocal.d2transf_df2">(GPy.likelihoods.link_functions.Reciprocal method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.d3logpdf_df3">d3logpdf_df3() (GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli.d3logpdf_dlink3">d3logpdf_dlink3() (GPy.likelihoods.bernoulli.Bernoulli method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.exponential.Exponential.d3logpdf_dlink3">(GPy.likelihoods.exponential.Exponential method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gamma.Gamma.d3logpdf_dlink3">(GPy.likelihoods.gamma.Gamma method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.d3logpdf_dlink3">(GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.d3logpdf_dlink3">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.poisson.Poisson.d3logpdf_dlink3">(GPy.likelihoods.poisson.Poisson method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.d3logpdf_dlink3">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Cloglog.d3transf_df3">d3transf_df3() (GPy.likelihoods.link_functions.Cloglog method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.GPTransformation.d3transf_df3">(GPy.likelihoods.link_functions.GPTransformation method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Identity.d3transf_df3">(GPy.likelihoods.link_functions.Identity method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Log.d3transf_df3">(GPy.likelihoods.link_functions.Log method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Log_ex_1.d3transf_df3">(GPy.likelihoods.link_functions.Log_ex_1 method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Probit.d3transf_df3">(GPy.likelihoods.link_functions.Probit method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Reciprocal.d3transf_df3">(GPy.likelihoods.link_functions.Reciprocal method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.data_available">data_available() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.data_details_return">data_details_return() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.data_play">data_play() (in module GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.data_show">data_show (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController.deactivate">deactivate() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.decampos_digits">decampos_digits() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.deepTest">deepTest() (in module GPy.testing)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.della_gatta_TRP63_gene_expression">della_gatta_TRP63_gene_expression() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.mapping.Mapping.df_dtheta">df_dtheta() (GPy.core.mapping.Mapping method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.mappings.html#GPy.mappings.additive.Additive.df_dtheta">(GPy.mappings.additive.Additive method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.kernel.Kernel.df_dtheta">(GPy.mappings.kernel.Kernel method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.linear.Linear.df_dtheta">(GPy.mappings.linear.Linear method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.mlp.MLP.df_dtheta">(GPy.mappings.mlp.MLP method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.html#GPy.core.mapping.Mapping.df_dX">df_dX() (GPy.core.mapping.Mapping method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.mappings.html#GPy.mappings.additive.Additive.df_dX">(GPy.mappings.additive.Additive method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.kernel.Kernel.df_dX">(GPy.mappings.kernel.Kernel method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.mlp.MLP.df_dX">(GPy.mappings.mlp.MLP method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM">DGPLVM (class in GPy.core.parameterization.priors)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA">DGPLVM_KFDA (class in GPy.core.parameterization.priors)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.functions.differfln">differfln() (in module GPy.util.functions)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.DiffGenomeKern">DiffGenomeKern (class in GPy.kern._src.splitKern)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.diag.divide">divide() (in module GPy.util.diag)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.parallel.divide_data">divide_data() (in module GPy.util.parallel)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.rbf.RBF.dK_dr">dK_dr() (GPy.kern._src.rbf.RBF method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Cosine.dK_dr">(GPy.kern._src.stationary.Cosine method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.ExpQuad.dK_dr">(GPy.kern._src.stationary.ExpQuad method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Exponential.dK_dr">(GPy.kern._src.stationary.Exponential method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Matern32.dK_dr">(GPy.kern._src.stationary.Matern32 method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Matern52.dK_dr">(GPy.kern._src.stationary.Matern52 method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.OU.dK_dr">(GPy.kern._src.stationary.OU method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.RatQuad.dK_dr">(GPy.kern._src.stationary.RatQuad method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.dK_dr">(GPy.kern._src.stationary.Stationary method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.dK_dr_via_X">dK_dr_via_X (GPy.kern._src.stationary.Stationary attribute)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.linear.Linear.dL_dX">dL_dX() (GPy.mappings.linear.Linear method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.dlogpdf_df">dlogpdf_df() (GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.dlogpdf_df_dtheta">dlogpdf_df_dtheta() (GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli.dlogpdf_dlink">dlogpdf_dlink() (GPy.likelihoods.bernoulli.Bernoulli method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.exponential.Exponential.dlogpdf_dlink">(GPy.likelihoods.exponential.Exponential method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gamma.Gamma.dlogpdf_dlink">(GPy.likelihoods.gamma.Gamma method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.dlogpdf_dlink">(GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.dlogpdf_dlink">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.poisson.Poisson.dlogpdf_dlink">(GPy.likelihoods.poisson.Poisson method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.dlogpdf_dlink">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.dlogpdf_dlink_dtheta">dlogpdf_dlink_dtheta() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.dlogpdf_dlink_dtheta">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.dlogpdf_dlink_dtheta">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.dlogpdf_dlink_dvar">dlogpdf_dlink_dvar() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.dlogpdf_dlink_dvar">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.dlogpdf_dtheta">dlogpdf_dtheta() (GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.dlogpdf_link_dtheta">dlogpdf_link_dtheta() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.dlogpdf_link_dtheta">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.dlogpdf_link_dtheta">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.dlogpdf_link_dvar">dlogpdf_link_dvar() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.dlogpdf_link_dvar">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm.BayesianGPLVM.dmu_dX">dmu_dX() (GPy.models.bayesian_gplvm.BayesianGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.dmu_dX">(GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm.BayesianGPLVM.dmu_dXnew">dmu_dXnew() (GPy.models.bayesian_gplvm.BayesianGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.dmu_dXnew">(GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.stochastics.SparseGPStochastics.do_stochastics">do_stochastics() (GPy.inference.optimization.stochastics.SparseGPStochastics method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.stochastics.StochasticStorage.do_stochastics">(GPy.inference.optimization.stochastics.StochasticStorage method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm.BayesianGPLVM.do_test_latents">do_test_latents() (GPy.models.bayesian_gplvm.BayesianGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.do_test_latents">(GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.domain">domain (GPy.core.parameterization.priors.DGPLVM attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA.domain">(GPy.core.parameterization.priors.DGPLVM_KFDA attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gamma.domain">(GPy.core.parameterization.priors.Gamma attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gaussian.domain">(GPy.core.parameterization.priors.Gaussian attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.HalfT.domain">(GPy.core.parameterization.priors.HalfT attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.InverseGamma.domain">(GPy.core.parameterization.priors.InverseGamma attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.LogGaussian.domain">(GPy.core.parameterization.priors.LogGaussian attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.MultivariateGaussian.domain">(GPy.core.parameterization.priors.MultivariateGaussian attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Prior.domain">(GPy.core.parameterization.priors.Prior attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Uniform.domain">(GPy.core.parameterization.priors.Uniform attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Exponent.domain">(GPy.core.parameterization.transformations.Exponent attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logexp.domain">(GPy.core.parameterization.transformations.Logexp attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpClipped.domain">(GPy.core.parameterization.transformations.LogexpClipped attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpNeg.domain">(GPy.core.parameterization.transformations.LogexpNeg attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logistic.domain">(GPy.core.parameterization.transformations.Logistic attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeExponent.domain">(GPy.core.parameterization.transformations.NegativeExponent attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeLogexp.domain">(GPy.core.parameterization.transformations.NegativeLogexp attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Square.domain">(GPy.core.parameterization.transformations.Square attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Transformation.domain">(GPy.core.parameterization.transformations.Transformation attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.download_data">download_data() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.download_rogers_girolami_data">download_rogers_girolami_data() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.download_url">download_url() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.dparam_checkgrad">dparam_checkgrad() (in module GPy.testing.likelihood_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.dparam_partial">dparam_partial() (in module GPy.testing.likelihood_tests)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.dpotri">dpotri() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.dpotrs">dpotrs() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show.draw_edges">draw_edges() (GPy.plotting.matplot_dep.visualize.mocap_data_show method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython.draw_edges">(GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show.draw_vertices">draw_vertices() (GPy.plotting.matplot_dep.visualize.mocap_data_show method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython.draw_vertices">(GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.drosophila_knirps">drosophila_knirps() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.drosophila_protein">drosophila_protein() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.DSYR">DSYR() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.DSYR_blas">DSYR_blas() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.DSYR_numpy">DSYR_numpy() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.dtc.DTC">DTC (class in GPy.inference.latent_function_inference.dtc)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Cloglog.dtransf_df">dtransf_df() (GPy.likelihoods.link_functions.Cloglog method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.GPTransformation.dtransf_df">(GPy.likelihoods.link_functions.GPTransformation method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Heaviside.dtransf_df">(GPy.likelihoods.link_functions.Heaviside method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Identity.dtransf_df">(GPy.likelihoods.link_functions.Identity method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Log.dtransf_df">(GPy.likelihoods.link_functions.Log method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Log_ex_1.dtransf_df">(GPy.likelihoods.link_functions.Log_ex_1 method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Probit.dtransf_df">(GPy.likelihoods.link_functions.Probit method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Reciprocal.dtransf_df">(GPy.likelihoods.link_functions.Reciprocal method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.linalg.dtrtri">dtrtri() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.dtrtrs">dtrtrs() (in module GPy.util.linalg)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="E">E</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.util.html#GPy.util.caching.Cacher.ensure_cache_length">ensure_cache_length() (GPy.util.caching.Cacher method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.model.Model.ensure_default_constraints">ensure_default_constraints() (GPy.core.model.Model method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation.EP">EP (class in GPy.inference.latent_function_inference.expectation_propagation)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC">EPDTC (class in GPy.inference.latent_function_inference.expectation_propagation_dtc)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.epomeo_gpx">epomeo_gpx() (in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.erfcx.erfcx">erfcx() (in module GPy.util.erfcx)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli.exact_inference_gradients">exact_inference_gradients() (GPy.likelihoods.bernoulli.Bernoulli method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.exact_inference_gradients">(GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.mixed_noise.MixedNoise.exact_inference_gradients">(GPy.likelihoods.mixed_noise.MixedNoise method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.exact_gaussian_inference.ExactGaussianInference">ExactGaussianInference (class in GPy.inference.latent_function_inference.exact_gaussian_inference)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.testing.html#GPy.testing.examples_tests.ExamplesTests">ExamplesTests (class in GPy.testing.examples_tests)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation.EP.expectation_propagation">expectation_propagation() (GPy.inference.latent_function_inference.expectation_propagation.EP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC.expectation_propagation">(GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Exponent">Exponent (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Exponential">Exponential (class in GPy.kern._src.stationary)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.exponential.Exponential">(class in GPy.likelihoods.exponential)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.scg.exponents">exponents() (in module GPy.inference.optimization.scg)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.ExpQuad">ExpQuad (class in GPy.kern._src.stationary)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController.extent">extent() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.extract_properties_to_index">extract_properties_to_index() (in module GPy.core.parameterization.index_operations)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="F">F</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.html#GPy.core.mapping.Mapping.f">f() (GPy.core.mapping.Mapping method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Exponent.f">(GPy.core.parameterization.transformations.Exponent method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logexp.f">(GPy.core.parameterization.transformations.Logexp method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpClipped.f">(GPy.core.parameterization.transformations.LogexpClipped method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpNeg.f">(GPy.core.parameterization.transformations.LogexpNeg method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logistic.f">(GPy.core.parameterization.transformations.Logistic method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeExponent.f">(GPy.core.parameterization.transformations.NegativeExponent method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeLogexp.f">(GPy.core.parameterization.transformations.NegativeLogexp method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalEta.f">(GPy.core.parameterization.transformations.NormalEta method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalTheta.f">(GPy.core.parameterization.transformations.NormalTheta method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Square.f">(GPy.core.parameterization.transformations.Square method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Transformation.f">(GPy.core.parameterization.transformations.Transformation method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.additive.Additive.f">(GPy.mappings.additive.Additive method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.kernel.Kernel.f">(GPy.mappings.kernel.Kernel method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.linear.Linear.f">(GPy.mappings.linear.Linear method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.mlp.MLP.f">(GPy.mappings.mlp.MLP method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.warping_functions.TanhWarpingFunction.f">(GPy.util.warping_functions.TanhWarpingFunction method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.warping_functions.TanhWarpingFunction_d.f">(GPy.util.warping_functions.TanhWarpingFunction_d method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.warping_functions.WarpingFunction.f">(GPy.util.warping_functions.WarpingFunction method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.warping_functions.TanhWarpingFunction.f_inv">f_inv() (GPy.util.warping_functions.TanhWarpingFunction method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.warping_functions.TanhWarpingFunction_d.f_inv">(GPy.util.warping_functions.TanhWarpingFunction_d method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.warping_functions.WarpingFunction.f_inv">(GPy.util.warping_functions.WarpingFunction method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.base_plots.fewerXticks">fewerXticks() (in module GPy.plotting.matplot_dep.base_plots)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.fewerXticks">(in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.warping_functions.TanhWarpingFunction.fgrad_y">fgrad_y() (GPy.util.warping_functions.TanhWarpingFunction method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.warping_functions.TanhWarpingFunction_d.fgrad_y">(GPy.util.warping_functions.TanhWarpingFunction_d method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.warping_functions.WarpingFunction.fgrad_y">(GPy.util.warping_functions.WarpingFunction method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.warping_functions.TanhWarpingFunction.fgrad_y_psi">fgrad_y_psi() (GPy.util.warping_functions.TanhWarpingFunction method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.warping_functions.TanhWarpingFunction_d.fgrad_y_psi">(GPy.util.warping_functions.TanhWarpingFunction_d method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.warping_functions.WarpingFunction.fgrad_y_psi">(GPy.util.warping_functions.WarpingFunction method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.mocap.skeleton.finalize">finalize() (GPy.util.mocap.skeleton method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show.finalize_axes">finalize_axes() (GPy.plotting.matplot_dep.visualize.mocap_data_show method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show.finalize_axes_modify">finalize_axes_modify() (GPy.plotting.matplot_dep.visualize.mocap_data_show method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.tree.find_children">find_children() (GPy.util.mocap.tree method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.tree.find_parents">find_parents() (GPy.util.mocap.tree method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.tree.find_root">find_root() (GPy.util.mocap.tree method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Exponent.finv">finv() (GPy.core.parameterization.transformations.Exponent method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logexp.finv">(GPy.core.parameterization.transformations.Logexp method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpClipped.finv">(GPy.core.parameterization.transformations.LogexpClipped method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpNeg.finv">(GPy.core.parameterization.transformations.LogexpNeg method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logistic.finv">(GPy.core.parameterization.transformations.Logistic method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeExponent.finv">(GPy.core.parameterization.transformations.NegativeExponent method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeLogexp.finv">(GPy.core.parameterization.transformations.NegativeLogexp method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalEta.finv">(GPy.core.parameterization.transformations.NormalEta method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalTheta.finv">(GPy.core.parameterization.transformations.NormalTheta method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Square.finv">(GPy.core.parameterization.transformations.Square method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Transformation.finv">(GPy.core.parameterization.transformations.Transformation method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.fitc.FITC">FITC (class in GPy.inference.latent_function_inference.fitc)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.fitc.FITCtest">FITCtest (class in GPy.testing.fitc)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Fix">Fix (class in GPy.core.parameterization.ties_and_remappings)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.fix">fix() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.fix">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Fixed">Fixed (class in GPy.kern._src.static)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gradient_checker.flatten_if_needed">flatten_if_needed() (in module GPy.models.gradient_checker)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.examples_tests.flatten_nested">flatten_nested() (in module GPy.testing.examples_tests)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.flattened_parameters">flattened_parameters (GPy.core.parameterization.param.Param attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized.flattened_parameters">(GPy.core.parameterization.parameterized.Parameterized attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.gradient_descent_update_rules.FletcherReeves">FletcherReeves (class in GPy.inference.optimization.gradient_descent_update_rules)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.lists_and_dicts.ObserverList.flush">flush() (GPy.core.parameterization.lists_and_dicts.ObserverList method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.football_data">football_data() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.force_F_ordered">force_F_ordered() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.force_F_ordered_symmetric">force_F_ordered_symmetric() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gamma.from_EV">from_EV() (GPy.core.parameterization.priors.Gamma static method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.fruitfly_tomancak">fruitfly_tomancak() (in module GPy.util.datasets)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="G">G</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.html#GPy.core.mapping.Bijective_mapping.g">g() (GPy.core.mapping.Bijective_mapping method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.mappings.html#GPy.mappings.linear.Linear.g">(GPy.mappings.linear.Linear method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gamma">Gamma (class in GPy.core.parameterization.priors)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gamma.Gamma">(class in GPy.likelihoods.gamma)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.gamma_from_EV">gamma_from_EV() (in module GPy.core.parameterization.priors)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.SpikeAndSlabPosterior.gamma_log_prob">gamma_log_prob (GPy.core.parameterization.variational.SpikeAndSlabPosterior attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.SpikeAndSlabPosterior.gamma_probabilities">gamma_probabilities (GPy.core.parameterization.variational.SpikeAndSlabPosterior attribute)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch.gatherPsiStat">gatherPsiStat() (GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gaussian">Gaussian (class in GPy.core.parameterization.priors)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian">(class in GPy.likelihoods.gaussian)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.gaussian_variance">gaussian_variance() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.mixed_noise.MixedNoise.gaussian_variance">(GPy.likelihoods.mixed_noise.MixedNoise method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.gradient_descent_update_rules.GDUpdateRule">GDUpdateRule (class in GPy.inference.optimization.gradient_descent_update_rules)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.inference_tests.InferenceXTestCase.genData">genData() (GPy.testing.inference_tests.InferenceXTestCase method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.block_matrices.get_blocks">get_blocks() (in module GPy.util.block_matrices)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.get_child_xyz">get_child_xyz() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.get_class_label">get_class_label() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA.get_class_label">(GPy.core.parameterization.priors.DGPLVM_KFDA method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU.get_dimensions">get_dimensions() (GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU.get_dimensions">(GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController.get_grid">get_grid() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.tree.get_index_by_id">get_index_by_id() (GPy.util.mocap.tree method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.tree.get_index_by_name">get_index_by_name() (GPy.util.mocap.tree method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.CombinationKernel.get_input_dim_active_dims">get_input_dim_active_dims() (GPy.kern._src.kern.CombinationKernel method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.get_optimizer">get_optimizer() (in module GPy.inference.optimization.optimization)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gradient_checker.get_shape">get_shape() (in module GPy.models.gradient_checker)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.multioutput.get_slices">get_slices() (in module GPy.util.multioutput)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC.get_VVTfactor">get_VVTfactor() (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc.VarDTC.get_VVTfactor">(GPy.inference.latent_function_inference.var_dtc.VarDTC method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm.BayesianGPLVM.get_X_gradients">get_X_gradients() (GPy.models.bayesian_gplvm.BayesianGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.get_X_gradients">(GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.ss_gplvm.SSGPLVM.get_X_gradients">(GPy.models.ss_gplvm.SSGPLVM method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.exact_gaussian_inference.ExactGaussianInference.get_YYTfactor">get_YYTfactor() (GPy.inference.latent_function_inference.exact_gaussian_inference.ExactGaussianInference method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Tie.getTieFlag">getTieFlag() (GPy.core.parameterization.ties_and_remappings.Tie method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.global_average_temperature">global_average_temperature() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.google_trends">google_trends() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP">GP (class in GPy.core.gp)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_classification.GPClassification">GPClassification (class in GPy.models.gp_classification)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_coregionalized_regression.GPCoregionalizedRegression">GPCoregionalizedRegression (class in GPy.models.gp_coregionalized_regression)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_heteroscedastic_regression.GPHeteroscedasticRegression">GPHeteroscedasticRegression (class in GPy.models.gp_heteroscedastic_regression)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_kronecker_gaussian_regression.GPKroneckerGaussianRegression">GPKroneckerGaussianRegression (class in GPy.models.gp_kronecker_gaussian_regression)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gplvm.GPLVM">GPLVM (class in GPy.models.gplvm)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.gplvm_oil_100">gplvm_oil_100() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.base_plots.gpplot">gpplot() (in module GPy.plotting.matplot_dep.base_plots)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_regression.GPRegression">GPRegression (class in GPy.models.gp_regression)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.GPTransformation">GPTransformation (class in GPy.likelihoods.link_functions)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_var_gauss.GPVariationalGaussianApproximation">GPVariationalGaussianApproximation (class in GPy.models.gp_var_gauss)</a>
</dt>
<dt><a href="GPy.html#module-GPy">GPy (module)</a>
</dt>
<dt><a href="GPy.core.html#module-GPy.core">GPy.core (module)</a>
</dt>
<dt><a href="GPy.core.html#module-GPy.core.gp">GPy.core.gp (module)</a>
</dt>
<dt><a href="GPy.core.html#module-GPy.core.mapping">GPy.core.mapping (module)</a>
</dt>
<dt><a href="GPy.core.html#module-GPy.core.model">GPy.core.model (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization">GPy.core.parameterization (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.domains">GPy.core.parameterization.domains (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.index_operations">GPy.core.parameterization.index_operations (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.lists_and_dicts">GPy.core.parameterization.lists_and_dicts (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.observable_array">GPy.core.parameterization.observable_array (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.param">GPy.core.parameterization.param (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.parameter_core">GPy.core.parameterization.parameter_core (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.parameterized">GPy.core.parameterization.parameterized (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.priors">GPy.core.parameterization.priors (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.ties_and_remappings">GPy.core.parameterization.ties_and_remappings (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.transformations">GPy.core.parameterization.transformations (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#module-GPy.core.parameterization.variational">GPy.core.parameterization.variational (module)</a>
</dt>
<dt><a href="GPy.core.html#module-GPy.core.sparse_gp">GPy.core.sparse_gp (module)</a>
</dt>
<dt><a href="GPy.core.html#module-GPy.core.sparse_gp_mpi">GPy.core.sparse_gp_mpi (module)</a>
</dt>
<dt><a href="GPy.examples.html#module-GPy.examples">GPy.examples (module)</a>
</dt>
<dt><a href="GPy.examples.html#module-GPy.examples.classification">GPy.examples.classification (module)</a>
</dt>
<dt><a href="GPy.examples.html#module-GPy.examples.coreg_example">GPy.examples.coreg_example (module)</a>
</dt>
<dt><a href="GPy.examples.html#module-GPy.examples.dimensionality_reduction">GPy.examples.dimensionality_reduction (module)</a>
</dt>
<dt><a href="GPy.examples.html#module-GPy.examples.non_gaussian">GPy.examples.non_gaussian (module)</a>
</dt>
<dt><a href="GPy.examples.html#module-GPy.examples.regression">GPy.examples.regression (module)</a>
</dt>
<dt><a href="GPy.inference.html#module-GPy.inference">GPy.inference (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference">GPy.inference.latent_function_inference (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference.dtc">GPy.inference.latent_function_inference.dtc (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference.exact_gaussian_inference">GPy.inference.latent_function_inference.exact_gaussian_inference (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference.expectation_propagation">GPy.inference.latent_function_inference.expectation_propagation (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference.expectation_propagation_dtc">GPy.inference.latent_function_inference.expectation_propagation_dtc (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference.fitc">GPy.inference.latent_function_inference.fitc (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference.inferenceX">GPy.inference.latent_function_inference.inferenceX (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference.laplace">GPy.inference.latent_function_inference.laplace (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference.posterior">GPy.inference.latent_function_inference.posterior (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference.var_dtc">GPy.inference.latent_function_inference.var_dtc (module)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#module-GPy.inference.latent_function_inference.var_dtc_parallel">GPy.inference.latent_function_inference.var_dtc_parallel (module)</a>
</dt>
<dt><a href="GPy.inference.mcmc.html#module-GPy.inference.mcmc">GPy.inference.mcmc (module)</a>
</dt>
<dt><a href="GPy.inference.mcmc.html#module-GPy.inference.mcmc.hmc">GPy.inference.mcmc.hmc (module)</a>
</dt>
<dt><a href="GPy.inference.mcmc.html#module-GPy.inference.mcmc.samplers">GPy.inference.mcmc.samplers (module)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#module-GPy.inference.optimization">GPy.inference.optimization (module)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#module-GPy.inference.optimization.conjugate_gradient_descent">GPy.inference.optimization.conjugate_gradient_descent (module)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#module-GPy.inference.optimization.gradient_descent_update_rules">GPy.inference.optimization.gradient_descent_update_rules (module)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#module-GPy.inference.optimization.optimization">GPy.inference.optimization.optimization (module)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#module-GPy.inference.optimization.scg">GPy.inference.optimization.scg (module)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#module-GPy.inference.optimization.stochastics">GPy.inference.optimization.stochastics (module)</a>
</dt>
<dt><a href="GPy.kern.html#module-GPy.kern">GPy.kern (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src">GPy.kern._src (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.add">GPy.kern._src.add (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.brownian">GPy.kern._src.brownian (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.coregionalize">GPy.kern._src.coregionalize (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.independent_outputs">GPy.kern._src.independent_outputs (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.kern">GPy.kern._src.kern (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.kernel_slice_operations">GPy.kern._src.kernel_slice_operations (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.linear">GPy.kern._src.linear (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.mlp">GPy.kern._src.mlp (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.ODE_st">GPy.kern._src.ODE_st (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.ODE_t">GPy.kern._src.ODE_t (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.ODE_UY">GPy.kern._src.ODE_UY (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.ODE_UYC">GPy.kern._src.ODE_UYC (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.periodic">GPy.kern._src.periodic (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.poly">GPy.kern._src.poly (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.prod">GPy.kern._src.prod (module)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#module-GPy.kern._src.psi_comp">GPy.kern._src.psi_comp (module)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#module-GPy.kern._src.psi_comp.linear_psi_comp">GPy.kern._src.psi_comp.linear_psi_comp (module)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#module-GPy.kern._src.psi_comp.rbf_psi_comp">GPy.kern._src.psi_comp.rbf_psi_comp (module)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#module-GPy.kern._src.psi_comp.rbf_psi_gpucomp">GPy.kern._src.psi_comp.rbf_psi_gpucomp (module)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#module-GPy.kern._src.psi_comp.sslinear_psi_comp">GPy.kern._src.psi_comp.sslinear_psi_comp (module)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#module-GPy.kern._src.psi_comp.ssrbf_psi_comp">GPy.kern._src.psi_comp.ssrbf_psi_comp (module)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#module-GPy.kern._src.psi_comp.ssrbf_psi_gpucomp">GPy.kern._src.psi_comp.ssrbf_psi_gpucomp (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.rbf">GPy.kern._src.rbf (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.splitKern">GPy.kern._src.splitKern (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.static">GPy.kern._src.static (module)</a>
</dt>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.stationary">GPy.kern._src.stationary (module)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.kern._src.html#module-GPy.kern._src.trunclinear">GPy.kern._src.trunclinear (module)</a>
</dt>
<dt><a href="GPy.likelihoods.html#module-GPy.likelihoods">GPy.likelihoods (module)</a>
</dt>
<dt><a href="GPy.likelihoods.html#module-GPy.likelihoods.bernoulli">GPy.likelihoods.bernoulli (module)</a>
</dt>
<dt><a href="GPy.likelihoods.html#module-GPy.likelihoods.exponential">GPy.likelihoods.exponential (module)</a>
</dt>
<dt><a href="GPy.likelihoods.html#module-GPy.likelihoods.gamma">GPy.likelihoods.gamma (module)</a>
</dt>
<dt><a href="GPy.likelihoods.html#module-GPy.likelihoods.gaussian">GPy.likelihoods.gaussian (module)</a>
</dt>
<dt><a href="GPy.likelihoods.html#module-GPy.likelihoods.likelihood">GPy.likelihoods.likelihood (module)</a>
</dt>
<dt><a href="GPy.likelihoods.html#module-GPy.likelihoods.link_functions">GPy.likelihoods.link_functions (module)</a>
</dt>
<dt><a href="GPy.likelihoods.html#module-GPy.likelihoods.mixed_noise">GPy.likelihoods.mixed_noise (module)</a>
</dt>
<dt><a href="GPy.likelihoods.html#module-GPy.likelihoods.poisson">GPy.likelihoods.poisson (module)</a>
</dt>
<dt><a href="GPy.likelihoods.html#module-GPy.likelihoods.student_t">GPy.likelihoods.student_t (module)</a>
</dt>
<dt><a href="GPy.mappings.html#module-GPy.mappings">GPy.mappings (module)</a>
</dt>
<dt><a href="GPy.mappings.html#module-GPy.mappings.additive">GPy.mappings.additive (module)</a>
</dt>
<dt><a href="GPy.mappings.html#module-GPy.mappings.kernel">GPy.mappings.kernel (module)</a>
</dt>
<dt><a href="GPy.mappings.html#module-GPy.mappings.linear">GPy.mappings.linear (module)</a>
</dt>
<dt><a href="GPy.mappings.html#module-GPy.mappings.mlp">GPy.mappings.mlp (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models">GPy.models (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.bayesian_gplvm">GPy.models.bayesian_gplvm (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.bayesian_gplvm_minibatch">GPy.models.bayesian_gplvm_minibatch (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.bcgplvm">GPy.models.bcgplvm (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.gp_classification">GPy.models.gp_classification (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.gp_coregionalized_regression">GPy.models.gp_coregionalized_regression (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.gp_heteroscedastic_regression">GPy.models.gp_heteroscedastic_regression (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.gp_kronecker_gaussian_regression">GPy.models.gp_kronecker_gaussian_regression (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.gp_regression">GPy.models.gp_regression (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.gp_var_gauss">GPy.models.gp_var_gauss (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.gplvm">GPy.models.gplvm (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.gradient_checker">GPy.models.gradient_checker (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.mrd">GPy.models.mrd (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.sparse_gp_classification">GPy.models.sparse_gp_classification (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.sparse_gp_coregionalized_regression">GPy.models.sparse_gp_coregionalized_regression (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.sparse_gp_minibatch">GPy.models.sparse_gp_minibatch (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.sparse_gp_regression">GPy.models.sparse_gp_regression (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.sparse_gplvm">GPy.models.sparse_gplvm (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.ss_gplvm">GPy.models.ss_gplvm (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.ss_mrd">GPy.models.ss_mrd (module)</a>
</dt>
<dt><a href="GPy.models.html#module-GPy.models.warped_gp">GPy.models.warped_gp (module)</a>
</dt>
<dt><a href="GPy.plotting.html#module-GPy.plotting">GPy.plotting (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep">GPy.plotting.matplot_dep (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.base_plots">GPy.plotting.matplot_dep.base_plots (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.dim_reduction_plots">GPy.plotting.matplot_dep.dim_reduction_plots (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.img_plots">GPy.plotting.matplot_dep.img_plots (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.inference_plots">GPy.plotting.matplot_dep.inference_plots (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.kernel_plots">GPy.plotting.matplot_dep.kernel_plots (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.html#module-GPy.plotting.matplot_dep.latent_space_visualizations">GPy.plotting.matplot_dep.latent_space_visualizations (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#module-GPy.plotting.matplot_dep.latent_space_visualizations.controllers">GPy.plotting.matplot_dep.latent_space_visualizations.controllers (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#module-GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller">GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#module-GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller">GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.mapping_plots">GPy.plotting.matplot_dep.mapping_plots (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.maps">GPy.plotting.matplot_dep.maps (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.models_plots">GPy.plotting.matplot_dep.models_plots (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.netpbmfile">GPy.plotting.matplot_dep.netpbmfile (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.priors_plots">GPy.plotting.matplot_dep.priors_plots (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.ssgplvm">GPy.plotting.matplot_dep.ssgplvm (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.svig_plots">GPy.plotting.matplot_dep.svig_plots (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.Tango">GPy.plotting.matplot_dep.Tango (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.variational_plots">GPy.plotting.matplot_dep.variational_plots (module)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#module-GPy.plotting.matplot_dep.visualize">GPy.plotting.matplot_dep.visualize (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing">GPy.testing (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.examples_tests">GPy.testing.examples_tests (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.fitc">GPy.testing.fitc (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.index_operations_tests">GPy.testing.index_operations_tests (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.inference_tests">GPy.testing.inference_tests (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.kernel_tests">GPy.testing.kernel_tests (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.likelihood_tests">GPy.testing.likelihood_tests (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.model_tests">GPy.testing.model_tests (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.observable_tests">GPy.testing.observable_tests (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.parameterized_tests">GPy.testing.parameterized_tests (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.pickle_tests">GPy.testing.pickle_tests (module)</a>
</dt>
<dt><a href="GPy.testing.html#module-GPy.testing.prior_tests">GPy.testing.prior_tests (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util">GPy.util (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.block_matrices">GPy.util.block_matrices (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.caching">GPy.util.caching (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.classification">GPy.util.classification (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.config">GPy.util.config (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.datasets">GPy.util.datasets (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.debug">GPy.util.debug (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.decorators">GPy.util.decorators (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.diag">GPy.util.diag (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.erfcx">GPy.util.erfcx (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.functions">GPy.util.functions (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.gpu_init">GPy.util.gpu_init (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.initialization">GPy.util.initialization (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.linalg">GPy.util.linalg (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.linalg_gpu">GPy.util.linalg_gpu (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.ln_diff_erfs">GPy.util.ln_diff_erfs (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.misc">GPy.util.misc (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.mocap">GPy.util.mocap (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.multioutput">GPy.util.multioutput (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.netpbmfile">GPy.util.netpbmfile (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.normalizer">GPy.util.normalizer (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.parallel">GPy.util.parallel (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.pca">GPy.util.pca (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.squashers">GPy.util.squashers (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.subarray_and_sorting">GPy.util.subarray_and_sorting (module)</a>, <a href="GPy.util.html#module-GPy.util.subarray_and_sorting">[1]</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.univariate_Gaussian">GPy.util.univariate_Gaussian (module)</a>
</dt>
<dt><a href="GPy.util.html#module-GPy.util.warping_functions">GPy.util.warping_functions (module)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Gradcheckable">Gradcheckable (class in GPy.core.parameterization.parameter_core)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Exponent.gradfactor">gradfactor() (GPy.core.parameterization.transformations.Exponent method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logexp.gradfactor">(GPy.core.parameterization.transformations.Logexp method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpClipped.gradfactor">(GPy.core.parameterization.transformations.LogexpClipped method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpNeg.gradfactor">(GPy.core.parameterization.transformations.LogexpNeg method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logistic.gradfactor">(GPy.core.parameterization.transformations.Logistic method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeExponent.gradfactor">(GPy.core.parameterization.transformations.NegativeExponent method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeLogexp.gradfactor">(GPy.core.parameterization.transformations.NegativeLogexp method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalEta.gradfactor">(GPy.core.parameterization.transformations.NormalEta method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalNaturalAntti.gradfactor">(GPy.core.parameterization.transformations.NormalNaturalAntti method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalNaturalThroughEta.gradfactor">(GPy.core.parameterization.transformations.NormalNaturalThroughEta method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalNaturalThroughTheta.gradfactor">(GPy.core.parameterization.transformations.NormalNaturalThroughTheta method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalTheta.gradfactor">(GPy.core.parameterization.transformations.NormalTheta method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Square.gradfactor">(GPy.core.parameterization.transformations.Square method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Transformation.gradfactor">(GPy.core.parameterization.transformations.Transformation method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.gradient">gradient (GPy.core.parameterization.param.Param attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parameterizable.gradient">(GPy.core.parameterization.parameter_core.Parameterizable attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.OptimizationHandlable.gradient_full">gradient_full (GPy.core.parameterization.parameter_core.OptimizationHandlable attribute)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gradient_checker.GradientChecker">GradientChecker (class in GPy.models.gradient_checker)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.gradients_qX_expectations">gradients_qX_expectations() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.gradients_qX_expectations">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.gradients_qX_expectations">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.rbf.RBF.gradients_qX_expectations">(GPy.kern._src.rbf.RBF method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Static.gradients_qX_expectations">(GPy.kern._src.static.Static method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.gradients_X">gradients_X() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.coregionalize.Coregionalize.gradients_X">(GPy.kern._src.coregionalize.Coregionalize method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.Hierarchical.gradients_X">(GPy.kern._src.independent_outputs.Hierarchical method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.IndependentOutputs.gradients_X">(GPy.kern._src.independent_outputs.IndependentOutputs method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.gradients_X">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.gradients_X">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.LinearFull.gradients_X">(GPy.kern._src.linear.LinearFull method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.mlp.MLP.gradients_X">(GPy.kern._src.mlp.MLP method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.poly.Poly.gradients_X">(GPy.kern._src.poly.Poly method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.prod.Prod.gradients_X">(GPy.kern._src.prod.Prod method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Static.gradients_X">(GPy.kern._src.static.Static method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.gradients_X">(GPy.kern._src.stationary.Stationary method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear.gradients_X">(GPy.kern._src.trunclinear.TruncLinear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear_inf.gradients_X">(GPy.kern._src.trunclinear.TruncLinear_inf method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.gradients_X_">gradients_X_() (GPy.kern._src.stationary.Stationary method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.gradients_X_diag">gradients_X_diag() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.coregionalize.Coregionalize.gradients_X_diag">(GPy.kern._src.coregionalize.Coregionalize method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.IndependentOutputs.gradients_X_diag">(GPy.kern._src.independent_outputs.IndependentOutputs method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.gradients_X_diag">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.gradients_X_diag">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.LinearFull.gradients_X_diag">(GPy.kern._src.linear.LinearFull method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.mlp.MLP.gradients_X_diag">(GPy.kern._src.mlp.MLP method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.poly.Poly.gradients_X_diag">(GPy.kern._src.poly.Poly method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.prod.Prod.gradients_X_diag">(GPy.kern._src.prod.Prod method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Static.gradients_X_diag">(GPy.kern._src.static.Static method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.gradients_X_diag">(GPy.kern._src.stationary.Stationary method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear.gradients_X_diag">(GPy.kern._src.trunclinear.TruncLinear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear_inf.gradients_X_diag">(GPy.kern._src.trunclinear.TruncLinear_inf method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.gradients_X_weave">gradients_X_weave() (GPy.kern._src.stationary.Stationary method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.gradients_Z_expectations">gradients_Z_expectations() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.gradients_Z_expectations">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.gradients_Z_expectations">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.rbf.RBF.gradients_Z_expectations">(GPy.kern._src.rbf.RBF method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Static.gradients_Z_expectations">(GPy.kern._src.static.Static method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests">GradientTests (class in GPy.testing.model_tests)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicExponential.Gram_matrix">Gram_matrix() (GPy.kern._src.periodic.PeriodicExponential method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicMatern32.Gram_matrix">(GPy.kern._src.periodic.PeriodicMatern32 method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicMatern52.Gram_matrix">(GPy.kern._src.periodic.PeriodicMatern52 method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Matern32.Gram_matrix">(GPy.kern._src.stationary.Matern32 method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Matern52.Gram_matrix">(GPy.kern._src.stationary.Matern52 method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized.grep_param_names">grep_param_names() (GPy.core.parameterization.parameterized.Parameterized method)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="H">H</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.HalfT">HalfT (class in GPy.core.parameterization.priors)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.hapmap3">hapmap3() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parentable.has_parent">has_parent() (GPy.core.parameterization.parameter_core.Parentable method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.VariationalPosterior.has_uncertain_inputs">has_uncertain_inputs() (GPy.core.parameterization.variational.VariationalPosterior method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.html#GPy.core.sparse_gp.SparseGP.has_uncertain_inputs">(GPy.core.sparse_gp.SparseGP method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.sparse_gp_minibatch.SparseGPMiniBatch.has_uncertain_inputs">(GPy.models.sparse_gp_minibatch.SparseGPMiniBatch method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Heaviside">Heaviside (class in GPy.likelihoods.link_functions)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.hex2rgb">hex2rgb() (in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.Hierarchical">Hierarchical (class in GPy.kern._src.independent_outputs)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Nameable.hierarchy_name">hierarchy_name() (GPy.core.parameterization.parameter_core.Nameable method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.HierarchyError">HierarchyError</a>
</dt>
<dt><a href="GPy.inference.mcmc.html#GPy.inference.mcmc.hmc.HMC">HMC (class in GPy.inference.mcmc.hmc)</a>
</dt>
<dt><a href="GPy.inference.mcmc.html#GPy.inference.mcmc.hmc.HMC_shortcut">HMC_shortcut (class in GPy.inference.mcmc.hmc)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="I">I</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.util.html#GPy.util.multioutput.ICM">ICM() (in module GPy.util.multioutput)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.caching.Cacher.id">id() (GPy.util.caching.Cacher method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Identity">Identity (class in GPy.likelihoods.link_functions)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.image_show">image_show (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller.ImAnnotateController">ImAnnotateController (class in GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.netpbmfile.imread">imread() (in module GPy.plotting.matplot_dep.netpbmfile)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.netpbmfile.imread">(in module GPy.util.netpbmfile)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.netpbmfile.imsave">imsave() (in module GPy.plotting.matplot_dep.netpbmfile)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.netpbmfile.imsave">(in module GPy.util.netpbmfile)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller.ImshowController">ImshowController (class in GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.IndependentOutputs">IndependentOutputs (class in GPy.kern._src.independent_outputs)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.lists_and_dicts.ArrayList.index">index() (GPy.core.parameterization.lists_and_dicts.ArrayList method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.index_empty">index_empty() (in module GPy.core.parameterization.index_operations)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.index_to_slices">index_to_slices() (in module GPy.kern._src.independent_outputs)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable">Indexable (class in GPy.core.parameterization.parameter_core)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.indices">indices() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.indices">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.html#GPy.core.gp.GP.infer_newX">infer_newX() (GPy.core.gp.GP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.inferenceX.infer_newX">(in module GPy.inference.latent_function_inference.inferenceX)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.dtc.DTC.inference">inference() (GPy.inference.latent_function_inference.dtc.DTC method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.dtc.vDTC.inference">(GPy.inference.latent_function_inference.dtc.vDTC method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.exact_gaussian_inference.ExactGaussianInference.inference">(GPy.inference.latent_function_inference.exact_gaussian_inference.ExactGaussianInference method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation.EP.inference">(GPy.inference.latent_function_inference.expectation_propagation.EP method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC.inference">(GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.fitc.FITC.inference">(GPy.inference.latent_function_inference.fitc.FITC method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.laplace.Laplace.inference">(GPy.inference.latent_function_inference.laplace.Laplace method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc.VarDTC.inference">(GPy.inference.latent_function_inference.var_dtc.VarDTC method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch.inference_likelihood">inference_likelihood() (GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch.inference_minibatch">inference_minibatch() (GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.InferenceMethodList">InferenceMethodList (class in GPy.inference.latent_function_inference)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.inferenceX.InferenceX">InferenceX (class in GPy.inference.latent_function_inference.inferenceX)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.testing.html#GPy.testing.inference_tests.InferenceXTestCase">InferenceXTestCase (class in GPy.testing.inference_tests)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Exponent.initialize">initialize() (GPy.core.parameterization.transformations.Exponent method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logexp.initialize">(GPy.core.parameterization.transformations.Logexp method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpClipped.initialize">(GPy.core.parameterization.transformations.LogexpClipped method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpNeg.initialize">(GPy.core.parameterization.transformations.LogexpNeg method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logistic.initialize">(GPy.core.parameterization.transformations.Logistic method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeExponent.initialize">(GPy.core.parameterization.transformations.NegativeExponent method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeLogexp.initialize">(GPy.core.parameterization.transformations.NegativeLogexp method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalEta.initialize">(GPy.core.parameterization.transformations.NormalEta method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalNaturalAntti.initialize">(GPy.core.parameterization.transformations.NormalNaturalAntti method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalTheta.initialize">(GPy.core.parameterization.transformations.NormalTheta method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Square.initialize">(GPy.core.parameterization.transformations.Square method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Transformation.initialize">(GPy.core.parameterization.transformations.Transformation method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show.initialize_axes">initialize_axes() (GPy.plotting.matplot_dep.visualize.mocap_data_show method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show.initialize_axes_modify">initialize_axes_modify() (GPy.plotting.matplot_dep.visualize.mocap_data_show method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.initialization.initialize_latent">initialize_latent() (in module GPy.util.initialization)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.input_sensitivity">input_sensitivity() (GPy.core.gp.GP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.input_sensitivity">(GPy.kern._src.add.Add method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.CombinationKernel.input_sensitivity">(GPy.kern._src.kern.CombinationKernel method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.input_sensitivity">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.input_sensitivity">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Static.input_sensitivity">(GPy.kern._src.static.Static method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.input_sensitivity">(GPy.kern._src.stationary.Stationary method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear.input_sensitivity">(GPy.kern._src.trunclinear.TruncLinear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear_inf.input_sensitivity">(GPy.kern._src.trunclinear.TruncLinear_inf method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.ss_gplvm.SSGPLVM.input_sensitivity">(GPy.models.ss_gplvm.SSGPLVM method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.lists_and_dicts.intarray_default_factory">intarray_default_factory() (in module GPy.core.parameterization.lists_and_dicts)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.lists_and_dicts.IntArrayDict">IntArrayDict (class in GPy.core.parameterization.lists_and_dicts)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.univariate_Gaussian.inv_std_norm_cdf">inv_std_norm_cdf() (in module GPy.util.univariate_Gaussian)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.normalizer.MeanNorm.inverse_mean">inverse_mean() (GPy.util.normalizer.MeanNorm method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.normalizer.Norm.inverse_mean">(GPy.util.normalizer.Norm method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.normalizer.Norm.inverse_variance">inverse_variance() (GPy.util.normalizer.Norm method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.InverseGamma">InverseGamma (class in GPy.core.parameterization.priors)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.is_fixed">is_fixed (GPy.core.parameterization.param.Param attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.is_fixed">(GPy.core.parameterization.parameter_core.Indexable attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_model.is_positive_semi_definite">is_positive_semi_definite() (GPy.testing.kernel_tests.Kern_check_model method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.isomap_faces">isomap_faces() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.items">items() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.items">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.iterindices">iterindices() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.iterindices">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.iteritems">iteritems() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.iteritems">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.iterproperties">iterproperties() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.iterproperties">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
</dl></td>
</tr></table>
<h2 id="J">J</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.models.html#GPy.models.gplvm.GPLVM.jacobian">jacobian() (GPy.models.gplvm.GPLVM method)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.util.html#GPy.util.linalg.jitchol">jitchol() (in module GPy.util.linalg)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="K">K</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.K">K() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_UY.ODE_UY.K">(GPy.kern._src.ODE_UY.ODE_UY method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_UYC.ODE_UYC.K">(GPy.kern._src.ODE_UYC.ODE_UYC method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_st.ODE_st.K">(GPy.kern._src.ODE_st.ODE_st method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_t.ODE_t.K">(GPy.kern._src.ODE_t.ODE_t method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.brownian.Brownian.K">(GPy.kern._src.brownian.Brownian method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.coregionalize.Coregionalize.K">(GPy.kern._src.coregionalize.Coregionalize method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.Hierarchical.K">(GPy.kern._src.independent_outputs.Hierarchical method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.IndependentOutputs.K">(GPy.kern._src.independent_outputs.IndependentOutputs method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.K">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.K">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.LinearFull.K">(GPy.kern._src.linear.LinearFull method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.mlp.MLP.K">(GPy.kern._src.mlp.MLP method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.Periodic.K">(GPy.kern._src.periodic.Periodic method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.poly.Poly.K">(GPy.kern._src.poly.Poly method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.prod.Prod.K">(GPy.kern._src.prod.Prod method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.DiffGenomeKern.K">(GPy.kern._src.splitKern.DiffGenomeKern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.SplitKern.K">(GPy.kern._src.splitKern.SplitKern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.SplitKern_cross.K">(GPy.kern._src.splitKern.SplitKern_cross method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Bias.K">(GPy.kern._src.static.Bias method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Fixed.K">(GPy.kern._src.static.Fixed method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.White.K">(GPy.kern._src.static.White method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.K">(GPy.kern._src.stationary.Stationary method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear.K">(GPy.kern._src.trunclinear.TruncLinear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear_inf.K">(GPy.kern._src.trunclinear.TruncLinear_inf method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.posterior.Posterior.K_chol">K_chol (GPy.inference.latent_function_inference.posterior.Posterior attribute)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.rbf.RBF.K_of_r">K_of_r() (GPy.kern._src.rbf.RBF method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Cosine.K_of_r">(GPy.kern._src.stationary.Cosine method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.ExpQuad.K_of_r">(GPy.kern._src.stationary.ExpQuad method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Exponential.K_of_r">(GPy.kern._src.stationary.Exponential method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Matern32.K_of_r">(GPy.kern._src.stationary.Matern32 method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Matern52.K_of_r">(GPy.kern._src.stationary.Matern52 method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.OU.K_of_r">(GPy.kern._src.stationary.OU method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.RatQuad.K_of_r">(GPy.kern._src.stationary.RatQuad method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.K_of_r">(GPy.kern._src.stationary.Stationary method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.Kdiag">Kdiag() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_UY.ODE_UY.Kdiag">(GPy.kern._src.ODE_UY.ODE_UY method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_UYC.ODE_UYC.Kdiag">(GPy.kern._src.ODE_UYC.ODE_UYC method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_st.ODE_st.Kdiag">(GPy.kern._src.ODE_st.ODE_st method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_t.ODE_t.Kdiag">(GPy.kern._src.ODE_t.ODE_t method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.brownian.Brownian.Kdiag">(GPy.kern._src.brownian.Brownian method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.coregionalize.Coregionalize.Kdiag">(GPy.kern._src.coregionalize.Coregionalize method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.Hierarchical.Kdiag">(GPy.kern._src.independent_outputs.Hierarchical method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.IndependentOutputs.Kdiag">(GPy.kern._src.independent_outputs.IndependentOutputs method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.Kdiag">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.Kdiag">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.LinearFull.Kdiag">(GPy.kern._src.linear.LinearFull method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.mlp.MLP.Kdiag">(GPy.kern._src.mlp.MLP method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.Periodic.Kdiag">(GPy.kern._src.periodic.Periodic method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.poly.Poly.Kdiag">(GPy.kern._src.poly.Poly method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.prod.Prod.Kdiag">(GPy.kern._src.prod.Prod method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.DiffGenomeKern.Kdiag">(GPy.kern._src.splitKern.DiffGenomeKern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.SplitKern.Kdiag">(GPy.kern._src.splitKern.SplitKern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.SplitKern_cross.Kdiag">(GPy.kern._src.splitKern.SplitKern_cross method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Fixed.Kdiag">(GPy.kern._src.static.Fixed method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Static.Kdiag">(GPy.kern._src.static.Static method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.Kdiag">(GPy.kern._src.stationary.Stationary method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear.Kdiag">(GPy.kern._src.trunclinear.TruncLinear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear_inf.Kdiag">(GPy.kern._src.trunclinear.TruncLinear_inf method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern">Kern (class in GPy.kern._src.kern)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_dK_dtheta">Kern_check_dK_dtheta (class in GPy.testing.kernel_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_dK_dX">Kern_check_dK_dX (class in GPy.testing.kernel_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_dKdiag_dtheta">Kern_check_dKdiag_dtheta (class in GPy.testing.kernel_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_dKdiag_dX">Kern_check_dKdiag_dX (class in GPy.testing.kernel_tests)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_model">Kern_check_model (class in GPy.testing.kernel_tests)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kernel_slice_operations.KernCallsViaSlicerMeta">KernCallsViaSlicerMeta (class in GPy.kern._src.kernel_slice_operations)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.kernel.Kernel">Kernel (class in GPy.mappings.kernel)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous">KernelGradientTestsContinuous (class in GPy.testing.kernel_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelTestsMiscellaneous">KernelTestsMiscellaneous (class in GPy.testing.kernel_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelTestsNonContinuous">KernelTestsNonContinuous (class in GPy.testing.kernel_tests)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.NormalPrior.KL_divergence">KL_divergence() (GPy.core.parameterization.variational.NormalPrior method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.SpikeAndSlabPrior.KL_divergence">(GPy.core.parameterization.variational.SpikeAndSlabPrior method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.VariationalPrior.KL_divergence">(GPy.core.parameterization.variational.VariationalPrior method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.misc.kmm_init">kmm_init() (in module GPy.util.misc)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="L">L</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.laplace.Laplace">Laplace (class in GPy.inference.latent_function_inference.laplace)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.LaplaceTests">LaplaceTests (class in GPy.testing.likelihood_tests)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm.latent_cost_and_grad">latent_cost_and_grad() (in module GPy.models.bayesian_gplvm)</a>
</dt>
<dd><dl>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm_minibatch.latent_cost_and_grad">(in module GPy.models.bayesian_gplvm_minibatch)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.LatentFunctionInference">LatentFunctionInference (class in GPy.inference.latent_function_inference)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.multioutput.LCM">LCM() (in module GPy.util.multioutput)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.lee_yeast_ChIP">lee_yeast_ChIP() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood">Likelihood (class in GPy.likelihoods.likelihood)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_var_gauss.GPVariationalGaussianApproximation.likelihood_quadrature">likelihood_quadrature() (GPy.models.gp_var_gauss.GPVariationalGaussianApproximation method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController.lim_changed">lim_changed() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear">Linear (class in GPy.kern._src.linear)</a>
</dt>
<dd><dl>
<dt><a href="GPy.mappings.html#GPy.mappings.linear.Linear">(class in GPy.mappings.linear)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.misc.linear_grid">linear_grid() (in module GPy.util.misc)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.LinearFull">LinearFull (class in GPy.kern._src.linear)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized.link_parameter">link_parameter() (GPy.core.parameterization.parameterized.Parameterized method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized.link_parameters">link_parameters() (GPy.core.parameterization.parameterized.Parameterized method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.ListDictTestCase">ListDictTestCase (class in GPy.testing.pickle_tests)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.ln_diff_erfs.ln_diff_erfs">ln_diff_erfs() (in module GPy.util.ln_diff_erfs)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.lnpdf">lnpdf() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA.lnpdf">(GPy.core.parameterization.priors.DGPLVM_KFDA method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gamma.lnpdf">(GPy.core.parameterization.priors.Gamma method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gaussian.lnpdf">(GPy.core.parameterization.priors.Gaussian method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.HalfT.lnpdf">(GPy.core.parameterization.priors.HalfT method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.InverseGamma.lnpdf">(GPy.core.parameterization.priors.InverseGamma method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.LogGaussian.lnpdf">(GPy.core.parameterization.priors.LogGaussian method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.MultivariateGaussian.lnpdf">(GPy.core.parameterization.priors.MultivariateGaussian method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Uniform.lnpdf">(GPy.core.parameterization.priors.Uniform method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.lnpdf_grad">lnpdf_grad() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA.lnpdf_grad">(GPy.core.parameterization.priors.DGPLVM_KFDA method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gamma.lnpdf_grad">(GPy.core.parameterization.priors.Gamma method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gaussian.lnpdf_grad">(GPy.core.parameterization.priors.Gaussian method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.HalfT.lnpdf_grad">(GPy.core.parameterization.priors.HalfT method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.InverseGamma.lnpdf_grad">(GPy.core.parameterization.priors.InverseGamma method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.LogGaussian.lnpdf_grad">(GPy.core.parameterization.priors.LogGaussian method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.MultivariateGaussian.lnpdf_grad">(GPy.core.parameterization.priors.MultivariateGaussian method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Uniform.lnpdf_grad">(GPy.core.parameterization.priors.Uniform method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.html#GPy.load">load() (in module GPy)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.load_channels">load_channels() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.load_skel">load_skel() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.util.html#GPy.util.mocap.load_text_data">load_text_data() (in module GPy.util.mocap)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Log">Log (class in GPy.likelihoods.link_functions)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Log_ex_1">Log_ex_1 (class in GPy.likelihoods.link_functions)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.log_likelihood">log_likelihood() (GPy.core.gp.GP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.html#GPy.core.mapping.Mapping_check_model.log_likelihood">(GPy.core.mapping.Mapping_check_model method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.model.Model.log_likelihood">(GPy.core.model.Model method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.inferenceX.InferenceX.log_likelihood">(GPy.inference.latent_function_inference.inferenceX.InferenceX method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_kronecker_gaussian_regression.GPKroneckerGaussianRegression.log_likelihood">(GPy.models.gp_kronecker_gaussian_regression.GPKroneckerGaussianRegression method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_var_gauss.GPVariationalGaussianApproximation.log_likelihood">(GPy.models.gp_var_gauss.GPVariationalGaussianApproximation method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gradient_checker.GradientChecker.log_likelihood">(GPy.models.gradient_checker.GradientChecker method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.mrd.MRD.log_likelihood">(GPy.models.mrd.MRD method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.ss_mrd.SSMRD.log_likelihood">(GPy.models.ss_mrd.SSMRD method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.warped_gp.WarpedGP.log_likelihood">(GPy.models.warped_gp.WarpedGP method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_dKdiag_dX.log_likelihood">(GPy.testing.kernel_tests.Kern_check_dKdiag_dX method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_dKdiag_dtheta.log_likelihood">(GPy.testing.kernel_tests.Kern_check_dKdiag_dtheta method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_model.log_likelihood">(GPy.testing.kernel_tests.Kern_check_model method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpClipped.log_max_bound">log_max_bound (GPy.core.parameterization.transformations.LogexpClipped attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpClipped.log_min_bound">log_min_bound (GPy.core.parameterization.transformations.LogexpClipped attribute)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.log_predictive_density">log_predictive_density() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.log_predictive_density">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.log_prior">log_prior() (GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logexp">Logexp (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeLogexp.logexp">logexp (GPy.core.parameterization.transformations.NegativeLogexp attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpClipped">LogexpClipped (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpNeg">LogexpNeg (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.LogGaussian">LogGaussian (class in GPy.core.parameterization.priors)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Logistic">Logistic (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.functions.logistic">logistic() (in module GPy.util.functions)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.functions.logisticln">logisticln() (in module GPy.util.functions)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.logpdf">logpdf() (GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli.logpdf_link">logpdf_link() (GPy.likelihoods.bernoulli.Bernoulli method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.exponential.Exponential.logpdf_link">(GPy.likelihoods.exponential.Exponential method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gamma.Gamma.logpdf_link">(GPy.likelihoods.gamma.Gamma method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.logpdf_link">(GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.logpdf_link">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.poisson.Poisson.logpdf_link">(GPy.likelihoods.poisson.Poisson method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.logpdf_link">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm">lvm (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm_dimselect">lvm_dimselect (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm_subplots">lvm_subplots (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="M">M</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.models.html#GPy.models.gplvm.GPLVM.magnification">magnification() (GPy.models.gplvm.GPLVM method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.mapping.Mapping">Mapping (class in GPy.core.mapping)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Remapping.mapping">mapping() (GPy.core.parameterization.ties_and_remappings.Remapping method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.mapping.Mapping_check_df_dtheta">Mapping_check_df_dtheta (class in GPy.core.mapping)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.mapping.Mapping_check_df_dX">Mapping_check_df_dX (class in GPy.core.mapping)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.mapping.Mapping_check_model">Mapping_check_model (class in GPy.core.mapping)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Matern32">Matern32 (class in GPy.kern._src.stationary)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Matern52">Matern52 (class in GPy.kern._src.stationary)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.matplotlib_show">matplotlib_show (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.mauna_loa">mauna_loa() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpClipped.max_bound">max_bound (GPy.core.parameterization.transformations.LogexpClipped attribute)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.mdot">mdot() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.posterior.Posterior.mean">mean (GPy.inference.latent_function_inference.posterior.Posterior attribute)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.normalizer.MeanNorm">MeanNorm (class in GPy.util.normalizer)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.base_plots.meanplot">meanplot() (in module GPy.plotting.matplot_dep.base_plots)</a>
</dt>
<dt><a href="GPy.inference.mcmc.html#GPy.inference.mcmc.samplers.Metropolis_Hastings">Metropolis_Hastings (class in GPy.inference.mcmc.samplers)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.LogexpClipped.min_bound">min_bound (GPy.core.parameterization.transformations.LogexpClipped attribute)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests">MiscTests (class in GPy.testing.model_tests)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.mixed_noise.MixedNoise">MixedNoise (class in GPy.likelihoods.mixed_noise)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.mlp.MLP">MLP (class in GPy.kern._src.mlp)</a>
</dt>
<dd><dl>
<dt><a href="GPy.mappings.html#GPy.mappings.mlp.MLP">(class in GPy.mappings.mlp)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show">mocap_data_show (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython">mocap_data_show_vpython (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.laplace.Laplace.mode_computations">mode_computations() (GPy.inference.latent_function_inference.laplace.Laplace method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.model.Model">Model (class in GPy.core.model)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.examples_tests.model_checkgrads">model_checkgrads() (in module GPy.testing.examples_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.examples_tests.model_instance">model_instance() (in module GPy.testing.examples_tests)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.data_show.modify">modify() (GPy.plotting.matplot_dep.visualize.data_show method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.image_show.modify">(GPy.plotting.matplot_dep.visualize.image_show method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm.modify">(GPy.plotting.matplot_dep.visualize.lvm method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show.modify">(GPy.plotting.matplot_dep.visualize.mocap_data_show method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython.modify">(GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.vector_show.modify">(GPy.plotting.matplot_dep.visualize.vector_show method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython.modify_edges">modify_edges() (GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython.modify_vertices">modify_vertices() (GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli.moments_match_ep">moments_match_ep() (GPy.likelihoods.bernoulli.Bernoulli method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.dim_reduction_plots.most_significant_input_dimensions">most_significant_input_dimensions() (in module GPy.plotting.matplot_dep.dim_reduction_plots)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.mrd.MRD">MRD (class in GPy.models.mrd)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.mrd_simulation">mrd_simulation() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.mrd_simulation_missing_data">mrd_simulation_missing_data() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.multiple_optima">multiple_optima() (in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.multiple_pdinv">multiple_pdinv() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.diag.multiply">multiply() (in module GPy.util.diag)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.MultivariateGaussian">MultivariateGaussian (class in GPy.core.parameterization.priors)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="N">N</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Nameable.name">name (GPy.core.parameterization.parameter_core.Nameable attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Nameable">Nameable (class in GPy.core.parameterization.parameter_core)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeExponent">NegativeExponent (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NegativeLogexp">NegativeLogexp (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.netpbmfile.NetpbmFile">NetpbmFile (class in GPy.plotting.matplot_dep.netpbmfile)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.netpbmfile.NetpbmFile">(class in GPy.util.netpbmfile)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.mcmc.html#GPy.inference.mcmc.samplers.Metropolis_Hastings.new_chain">new_chain() (GPy.inference.mcmc.samplers.Metropolis_Hastings method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.maps.new_shape_string">new_shape_string() (in module GPy.plotting.matplot_dep.maps)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.nextDark">nextDark() (in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.nextLight">nextLight() (in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.nextMedium">nextMedium() (in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.normalizer.Norm">Norm (class in GPy.util.normalizer)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalEta">NormalEta (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.normalizer.MeanNorm.normalize">normalize() (GPy.util.normalizer.MeanNorm method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.normalizer.Norm.normalize">(GPy.util.normalizer.Norm method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalNaturalAntti">NormalNaturalAntti (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalNaturalThroughEta">NormalNaturalThroughEta (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalNaturalThroughTheta">NormalNaturalThroughTheta (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.NormalPosterior">NormalPosterior (class in GPy.core.parameterization.variational)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.NormalPrior">NormalPrior (class in GPy.core.parameterization.variational)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.NormalTheta">NormalTheta (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.functions.normcdf">normcdf() (in module GPy.util.functions)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.functions.normcdfln">normcdfln() (in module GPy.util.functions)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.num_params">num_params (GPy.core.parameterization.param.Param attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.OptimizationHandlable.num_params">(GPy.core.parameterization.parameter_core.OptimizationHandlable attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parameterizable.num_params">(GPy.core.parameterization.parameter_core.Parameterizable attribute)</a>
</dt>
</dl></dd>
</dl></td>
</tr></table>
<h2 id="O">O</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.html#GPy.core.model.Model.objective_function">objective_function() (GPy.core.model.Model method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.model.Model.objective_function_gradients">objective_function_gradients() (GPy.core.model.Model method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.observable_array.ObsAr">ObsAr (class in GPy.core.parameterization.observable_array)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.lists_and_dicts.ObserverList">ObserverList (class in GPy.core.parameterization.lists_and_dicts)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_st.ODE_st">ODE_st (class in GPy.kern._src.ODE_st)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_t.ODE_t">ODE_t (class in GPy.kern._src.ODE_t)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_UY.ODE_UY">ODE_UY (class in GPy.kern._src.ODE_UY)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_UYC.ODE_UYC">ODE_UYC (class in GPy.kern._src.ODE_UYC)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.diag.offdiag_view">offdiag_view() (in module GPy.util.diag)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.classification.oil">oil() (in module GPy.examples.classification)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.oil">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.oil_100">oil_100() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.olivetti_faces">olivetti_faces() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.olivetti_faces">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.olivetti_glasses">olivetti_glasses() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.olympic_100m_men">olympic_100m_men() (in module GPy.examples.regression)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.olympic_100m_men">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.olympic_100m_women">olympic_100m_women() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.olympic_200m_men">olympic_200m_men() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.olympic_200m_women">olympic_200m_women() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.olympic_400m_men">olympic_400m_men() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.olympic_400m_women">olympic_400m_women() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.olympic_marathon_men">olympic_marathon_men() (in module GPy.examples.regression)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.olympic_marathon_men">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.olympic_sprints">olympic_sprints() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.caching.Cacher.on_cache_changed">on_cache_changed() (GPy.util.caching.Cacher method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm.on_click">on_click() (GPy.plotting.matplot_dep.visualize.lvm method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm_dimselect.on_click">(GPy.plotting.matplot_dep.visualize.lvm_dimselect method)</a>
</dt>
</dl></dd>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm.on_enter">on_enter() (GPy.plotting.matplot_dep.visualize.lvm method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm.on_leave">on_leave() (GPy.plotting.matplot_dep.visualize.lvm method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm_dimselect.on_leave">(GPy.plotting.matplot_dep.visualize.lvm_dimselect method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm.on_move">on_move() (GPy.plotting.matplot_dep.visualize.lvm method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation.EP.on_optimization_end">on_optimization_end() (GPy.inference.latent_function_inference.expectation_propagation.EP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.InferenceMethodList.on_optimization_end">(GPy.inference.latent_function_inference.InferenceMethodList method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.LatentFunctionInference.on_optimization_end">(GPy.inference.latent_function_inference.LatentFunctionInference method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC.on_optimization_end">(GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation.EP.on_optimization_start">on_optimization_start() (GPy.inference.latent_function_inference.expectation_propagation.EP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.InferenceMethodList.on_optimization_start">(GPy.inference.latent_function_inference.InferenceMethodList method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.LatentFunctionInference.on_optimization_start">(GPy.inference.latent_function_inference.LatentFunctionInference method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC.on_optimization_start">(GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize.opt">opt() (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.CGD.opt">(GPy.inference.optimization.conjugate_gradient_descent.CGD method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.Optimizer.opt">(GPy.inference.optimization.optimization.Optimizer method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.opt_SCG.opt">(GPy.inference.optimization.optimization.opt_SCG method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.opt_lbfgsb.opt">(GPy.inference.optimization.optimization.opt_lbfgsb method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.opt_rasm.opt">(GPy.inference.optimization.optimization.opt_rasm method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.opt_simplex.opt">(GPy.inference.optimization.optimization.opt_simplex method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.opt_tnc.opt">(GPy.inference.optimization.optimization.opt_tnc method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize.opt_async">opt_async() (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.CGD.opt_async">(GPy.inference.optimization.conjugate_gradient_descent.CGD method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.opt_lbfgsb">opt_lbfgsb (class in GPy.inference.optimization.optimization)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.CGD.opt_name">opt_name (GPy.inference.optimization.conjugate_gradient_descent.CGD attribute)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.opt_rasm">opt_rasm (class in GPy.inference.optimization.optimization)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.opt_SCG">opt_SCG (class in GPy.inference.optimization.optimization)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.opt_simplex">opt_simplex (class in GPy.inference.optimization.optimization)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.opt_tnc">opt_tnc (class in GPy.inference.optimization.optimization)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.misc.opt_wrapper">opt_wrapper() (in module GPy.util.misc)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.OptimizationHandlable">OptimizationHandlable (class in GPy.core.parameterization.parameter_core)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.optimize">optimize() (GPy.core.gp.GP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.html#GPy.core.model.Model.optimize">(GPy.core.model.Model method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.sparse_gp_mpi.SparseGP_MPI.optimize">(GPy.core.sparse_gp_mpi.SparseGP_MPI method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.html#GPy.core.model.Model.optimize_restarts">optimize_restarts() (GPy.core.model.Model method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.model.Model.optimize_SGD">optimize_SGD() (GPy.core.model.Model method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.Optimizer">Optimizer (class in GPy.inference.optimization.optimization)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.OptimizationHandlable.optimizer_array">optimizer_array (GPy.core.parameterization.parameter_core.OptimizationHandlable attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.html#GPy.core.sparse_gp_mpi.SparseGP_MPI.optimizer_array">(GPy.core.sparse_gp_mpi.SparseGP_MPI attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.mocap.tree.order_vertices">order_vertices() (GPy.util.mocap.tree method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.osu_run1">osu_run1() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.OU">OU (class in GPy.kern._src.stationary)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="P">P</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param">Param (class in GPy.core.parameterization.param)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.param_array">param_array (GPy.core.parameterization.param.Param attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parameterizable.param_array">(GPy.core.parameterization.parameter_core.Parameterizable attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.misc.param_to_array">param_to_array() (in module GPy.util.misc)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation">ParamConcatenation (class in GPy.core.parameterization.param)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.parameter_names">parameter_names() (GPy.core.parameterization.param.Param method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.OptimizationHandlable.parameter_names">(GPy.core.parameterization.parameter_core.OptimizationHandlable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.parameter_shapes">parameter_shapes (GPy.core.parameterization.param.Param attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized.parameter_shapes">(GPy.core.parameterization.parameterized.Parameterized attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations">ParameterIndexOperations (class in GPy.core.parameterization.index_operations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView">ParameterIndexOperationsView (class in GPy.core.parameterization.index_operations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parameterizable">Parameterizable (class in GPy.core.parameterization.parameter_core)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized">Parameterized (class in GPy.core.parameterization.parameterized)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.ParameterizedTest">ParameterizedTest (class in GPy.testing.observable_tests)</a>
</dt>
<dd><dl>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest">(class in GPy.testing.parameterized_tests)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.parameters">parameters (GPy.core.parameterization.param.Param attribute)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.parameters_changed">parameters_changed() (GPy.core.gp.GP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parameterizable.parameters_changed">(GPy.core.parameterization.parameter_core.Parameterizable method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Remapping.parameters_changed">(GPy.core.parameterization.ties_and_remappings.Remapping method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Tie.parameters_changed">(GPy.core.parameterization.ties_and_remappings.Tie method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.sparse_gp.SparseGP.parameters_changed">(GPy.core.sparse_gp.SparseGP method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.sparse_gp_mpi.SparseGP_MPI.parameters_changed">(GPy.core.sparse_gp_mpi.SparseGP_MPI method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.inferenceX.InferenceX.parameters_changed">(GPy.inference.latent_function_inference.inferenceX.InferenceX method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.coregionalize.Coregionalize.parameters_changed">(GPy.kern._src.coregionalize.Coregionalize method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicExponential.parameters_changed">(GPy.kern._src.periodic.PeriodicExponential method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicMatern32.parameters_changed">(GPy.kern._src.periodic.PeriodicMatern32 method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicMatern52.parameters_changed">(GPy.kern._src.periodic.PeriodicMatern52 method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.parameters_changed">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm.BayesianGPLVM.parameters_changed">(GPy.models.bayesian_gplvm.BayesianGPLVM method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.parameters_changed">(GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_kronecker_gaussian_regression.GPKroneckerGaussianRegression.parameters_changed">(GPy.models.gp_kronecker_gaussian_regression.GPKroneckerGaussianRegression method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_var_gauss.GPVariationalGaussianApproximation.parameters_changed">(GPy.models.gp_var_gauss.GPVariationalGaussianApproximation method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gplvm.GPLVM.parameters_changed">(GPy.models.gplvm.GPLVM method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.mrd.MRD.parameters_changed">(GPy.models.mrd.MRD method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.sparse_gp_minibatch.SparseGPMiniBatch.parameters_changed">(GPy.models.sparse_gp_minibatch.SparseGPMiniBatch method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.sparse_gp_regression.SparseGPRegression.parameters_changed">(GPy.models.sparse_gp_regression.SparseGPRegression method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.sparse_gplvm.SparseGPLVM.parameters_changed">(GPy.models.sparse_gplvm.SparseGPLVM method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.ss_gplvm.SSGPLVM.parameters_changed">(GPy.models.ss_gplvm.SSGPLVM method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.ss_mrd.SSMRD.parameters_changed">(GPy.models.ss_mrd.SSMRD method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_dK_dX.parameters_changed">(GPy.testing.kernel_tests.Kern_check_dK_dX method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_dK_dtheta.parameters_changed">(GPy.testing.kernel_tests.Kern_check_dK_dtheta method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_dKdiag_dX.parameters_changed">(GPy.testing.kernel_tests.Kern_check_dKdiag_dX method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Kern_check_dKdiag_dtheta.parameters_changed">(GPy.testing.kernel_tests.Kern_check_dKdiag_dtheta method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.ParamTestParent.parameters_changed">(GPy.testing.observable_tests.ParamTestParent method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.ParameterizedTest.parameters_changed">(GPy.testing.observable_tests.ParameterizedTest method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.ParametersChangedMeta">ParametersChangedMeta (class in GPy.core.parameterization.parameterized)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.ParameterizedTest.params_changed_count">params_changed_count (GPy.testing.observable_tests.ParameterizedTest attribute)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.ParamTestParent">ParamTestParent (class in GPy.testing.observable_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.ParamTestParent.parent_changed_count">parent_changed_count (GPy.testing.observable_tests.ParamTestParent attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parentable">Parentable (class in GPy.core.parameterization.parameter_core)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.parse_text">parse_text() (in module GPy.util.mocap)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.CombinationKernel.parts">parts (GPy.kern._src.kern.CombinationKernel attribute)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.pca.PCA">PCA (class in GPy.util.pca)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.pca">pca() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.pddet">pddet() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.MultivariateGaussian.pdf">pdf() (GPy.core.parameterization.priors.MultivariateGaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Prior.pdf">(GPy.core.parameterization.priors.Prior method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.pdf">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli.pdf_link">pdf_link() (GPy.likelihoods.bernoulli.Bernoulli method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.exponential.Exponential.pdf_link">(GPy.likelihoods.exponential.Exponential method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gamma.Gamma.pdf_link">(GPy.likelihoods.gamma.Gamma method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.pdf_link">(GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.pdf_link">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.poisson.Poisson.pdf_link">(GPy.likelihoods.poisson.Poisson method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.pdf_link">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.linalg.pdinv">pdinv() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.Periodic">Periodic (class in GPy.kern._src.periodic)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicExponential">PeriodicExponential (class in GPy.kern._src.periodic)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicMatern32">PeriodicMatern32 (class in GPy.kern._src.periodic)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicMatern52">PeriodicMatern52 (class in GPy.kern._src.periodic)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Pickleable.pickle">pickle() (GPy.core.parameterization.parameter_core.Pickleable method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Pickleable">Pickleable (class in GPy.core.parameterization.parameter_core)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.plot">plot() (GPy.core.gp.GP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.html#GPy.core.mapping.Mapping.plot">(GPy.core.mapping.Mapping method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.MultivariateGaussian.plot">(GPy.core.parameterization.priors.MultivariateGaussian method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Prior.plot">(GPy.core.parameterization.priors.Prior method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Transformation.plot">(GPy.core.parameterization.transformations.Transformation method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.NormalPosterior.plot">(GPy.core.parameterization.variational.NormalPosterior method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.SpikeAndSlabPosterior.plot">(GPy.core.parameterization.variational.SpikeAndSlabPosterior method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.Optimizer.plot">(GPy.inference.optimization.optimization.Optimizer method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.plot">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_heteroscedastic_regression.GPHeteroscedasticRegression.plot">(GPy.models.gp_heteroscedastic_regression.GPHeteroscedasticRegression method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gplvm.GPLVM.plot">(GPy.models.gplvm.GPLVM method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.warping_functions.WarpingFunction.plot">(GPy.util.warping_functions.WarpingFunction method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.kernel_plots.plot">(in module GPy.plotting.matplot_dep.kernel_plots)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.maps.plot">(in module GPy.plotting.matplot_dep.maps)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.priors_plots.plot">(in module GPy.plotting.matplot_dep.priors_plots)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.svig_plots.plot">(in module GPy.plotting.matplot_dep.svig_plots)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.variational_plots.plot">(in module GPy.plotting.matplot_dep.variational_plots)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.pca.PCA.plot_2d">plot_2d() (GPy.util.pca.PCA method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.img_plots.plot_2D_images">plot_2D_images() (in module GPy.plotting.matplot_dep.img_plots)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.plot_ARD">plot_ARD() (GPy.kern._src.kern.Kern method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.kernel_plots.plot_ARD">(in module GPy.plotting.matplot_dep.kernel_plots)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.kernel_plots.plot_bars">plot_bars() (in module GPy.plotting.matplot_dep.kernel_plots)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.maps.plot_bbox">plot_bbox() (in module GPy.plotting.matplot_dep.maps)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.plot_f">plot_f() (GPy.core.gp.GP method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.models_plots.plot_fit">plot_fit() (in module GPy.plotting.matplot_dep.models_plots)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.models_plots.plot_fit_f">plot_fit_f() (in module GPy.plotting.matplot_dep.models_plots)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.pca.PCA.plot_fracs">plot_fracs() (GPy.util.pca.PCA method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.ssgplvm.SSGPLVM_plot.plot_inducing">plot_inducing() (GPy.plotting.matplot_dep.ssgplvm.SSGPLVM_plot method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm.BayesianGPLVM.plot_latent">plot_latent() (GPy.models.bayesian_gplvm.BayesianGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.plot_latent">(GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gplvm.GPLVM.plot_latent">(GPy.models.gplvm.GPLVM method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.mrd.MRD.plot_latent">(GPy.models.mrd.MRD method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.sparse_gplvm.SparseGPLVM.plot_latent">(GPy.models.sparse_gplvm.SparseGPLVM method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.ss_gplvm.SSGPLVM.plot_latent">(GPy.models.ss_gplvm.SSGPLVM method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.dim_reduction_plots.plot_latent">(in module GPy.plotting.matplot_dep.dim_reduction_plots)</a>
</dt>
</dl></dd>
<dt><a href="GPy.models.html#GPy.models.gplvm.GPLVM.plot_magnification">plot_magnification() (GPy.models.gplvm.GPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.dim_reduction_plots.plot_magnification">(in module GPy.plotting.matplot_dep.dim_reduction_plots)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.mapping_plots.plot_mapping">plot_mapping() (in module GPy.plotting.matplot_dep.mapping_plots)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.inference_plots.plot_optimizer">plot_optimizer() (in module GPy.plotting.matplot_dep.inference_plots)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.mrd.MRD.plot_scales">plot_scales() (GPy.models.mrd.MRD method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.inference_plots.plot_sgd_traces">plot_sgd_traces() (in module GPy.plotting.matplot_dep.inference_plots)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.variational_plots.plot_SpikeSlab">plot_SpikeSlab() (in module GPy.plotting.matplot_dep.variational_plots)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm.BayesianGPLVM.plot_steepest_gradient_map">plot_steepest_gradient_map() (GPy.models.bayesian_gplvm.BayesianGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.plot_steepest_gradient_map">(GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.dim_reduction_plots.plot_steepest_gradient_map">(in module GPy.plotting.matplot_dep.dim_reduction_plots)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.maps.plot_string_match">plot_string_match() (in module GPy.plotting.matplot_dep.maps)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.svig_plots.plot_traces">plot_traces() (in module GPy.plotting.matplot_dep.svig_plots)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.warped_gp.WarpedGP.plot_warping">plot_warping() (GPy.models.warped_gp.WarpedGP method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.poisson.Poisson">Poisson (class in GPy.likelihoods.poisson)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.gradient_descent_update_rules.PolakRibiere">PolakRibiere (class in GPy.inference.optimization.gradient_descent_update_rules)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.poly.Poly">Poly (class in GPy.kern._src.poly)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython.pos_axis">pos_axis() (GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.posterior.Posterior">Posterior (class in GPy.inference.latent_function_inference.posterior)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.posterior_samples">posterior_samples() (GPy.core.gp.GP method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.posterior_samples_f">posterior_samples_f() (GPy.core.gp.GP method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.ppca">ppca() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.posterior.Posterior.precision">precision (GPy.inference.latent_function_inference.posterior.Posterior attribute)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.predict">predict() (GPy.core.gp.GP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.mcmc.html#GPy.inference.mcmc.samplers.Metropolis_Hastings.predict">(GPy.inference.mcmc.samplers.Metropolis_Hastings method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_kronecker_gaussian_regression.GPKroneckerGaussianRegression.predict">(GPy.models.gp_kronecker_gaussian_regression.GPKroneckerGaussianRegression method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.gp_var_gauss.GPVariationalGaussianApproximation.predict">(GPy.models.gp_var_gauss.GPVariationalGaussianApproximation method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.mrd.MRD.predict">(GPy.models.mrd.MRD method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.warped_gp.WarpedGP.predict">(GPy.models.warped_gp.WarpedGP method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.html#GPy.core.gp.GP.predict_quantiles">predict_quantiles() (GPy.core.gp.GP method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.predictive_gradients">predictive_gradients() (GPy.core.gp.GP method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli.predictive_mean">predictive_mean() (GPy.likelihoods.bernoulli.Bernoulli method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.predictive_mean">(GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.predictive_mean">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.predictive_mean">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.predictive_quantiles">predictive_quantiles() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.predictive_quantiles">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.mixed_noise.MixedNoise.predictive_quantiles">(GPy.likelihoods.mixed_noise.MixedNoise method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.predictive_values">predictive_values() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.predictive_values">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.mixed_noise.MixedNoise.predictive_values">(GPy.likelihoods.mixed_noise.MixedNoise method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli.predictive_variance">predictive_variance() (GPy.likelihoods.bernoulli.Bernoulli method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.predictive_variance">(GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.predictive_variance">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.mixed_noise.MixedNoise.predictive_variance">(GPy.likelihoods.mixed_noise.MixedNoise method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.predictive_variance">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.caching.Cacher.prepare_cache_id">prepare_cache_id() (GPy.util.caching.Cacher method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.scg.print_out">print_out() (in module GPy.inference.optimization.scg)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Prior">Prior (class in GPy.core.parameterization.priors)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.prior_tests.PriorTests">PriorTests (class in GPy.testing.prior_tests)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.multioutput.Private">Private() (in module GPy.util.multioutput)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Probit">Probit (class in GPy.likelihoods.link_functions)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show.process_values">process_values() (GPy.plotting.matplot_dep.visualize.mocap_data_show method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython.process_values">(GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.skeleton_show.process_values">(GPy.plotting.matplot_dep.visualize.skeleton_show method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.stick_show.process_values">(GPy.plotting.matplot_dep.visualize.stick_show method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.prod.Prod">Prod (class in GPy.kern._src.prod)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.prod">prod() (GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.pca.PCA.project">project() (GPy.util.pca.PCA method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.prompt_user">prompt_user() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Tie.propagate_val">propagate_val() (GPy.core.parameterization.ties_and_remappings.Tie method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.properties">properties() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.properties">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.properties_for">properties_for() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.properties_for">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.properties_to_index_dict">properties_to_index_dict() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.properties_to_index_dict">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.psi0">psi0() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.psi0">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.psi0">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.rbf.RBF.psi0">(GPy.kern._src.rbf.RBF method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Static.psi0">(GPy.kern._src.static.Static method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.psi1">psi1() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.psi1">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.psi1">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.rbf.RBF.psi1">(GPy.kern._src.rbf.RBF method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Static.psi1">(GPy.kern._src.static.Static method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.psi2">psi2() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.psi2">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.psi2">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.rbf.RBF.psi2">(GPy.kern._src.rbf.RBF method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Bias.psi2">(GPy.kern._src.static.Bias method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Fixed.psi2">(GPy.kern._src.static.Fixed method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Static.psi2">(GPy.kern._src.static.Static method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.White.psi2">(GPy.kern._src.static.White method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.PSICOMP_Linear">PSICOMP_Linear (class in GPy.kern._src.psi_comp)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.PSICOMP_RBF">PSICOMP_RBF (class in GPy.kern._src.psi_comp)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU">PSICOMP_RBF_GPU (class in GPy.kern._src.psi_comp.rbf_psi_gpucomp)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU">PSICOMP_SSRBF_GPU (class in GPy.kern._src.psi_comp.ssrbf_psi_gpucomp)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.PSICOMP_Linear.psicomputations">psicomputations (GPy.kern._src.psi_comp.PSICOMP_Linear attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.PSICOMP_RBF.psicomputations">(GPy.kern._src.psi_comp.PSICOMP_RBF attribute)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU.psicomputations">(GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU attribute)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU.psicomputations">(GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.linear_psi_comp.psicomputations">psicomputations() (in module GPy.kern._src.psi_comp.linear_psi_comp)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.rbf_psi_comp.psicomputations">(in module GPy.kern._src.psi_comp.rbf_psi_comp)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.sslinear_psi_comp.psicomputations">(in module GPy.kern._src.psi_comp.sslinear_psi_comp)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.PSICOMP_Linear.psiDerivativecomputations">psiDerivativecomputations (GPy.kern._src.psi_comp.PSICOMP_Linear attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.PSICOMP_RBF.psiDerivativecomputations">(GPy.kern._src.psi_comp.PSICOMP_RBF attribute)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU.psiDerivativecomputations">(GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU attribute)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU.psiDerivativecomputations">(GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.linear_psi_comp.psiDerivativecomputations">psiDerivativecomputations() (in module GPy.kern._src.psi_comp.linear_psi_comp)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.rbf_psi_comp.psiDerivativecomputations">(in module GPy.kern._src.psi_comp.rbf_psi_comp)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.sslinear_psi_comp.psiDerivativecomputations">(in module GPy.kern._src.psi_comp.sslinear_psi_comp)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.ssrbf_psi_comp.psiDerivativecomputations">(in module GPy.kern._src.psi_comp.ssrbf_psi_comp)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.pumadyn">pumadyn() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kernel_slice_operations.put_clean">put_clean() (in module GPy.kern._src.kernel_slice_operations)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="R">R</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.OptimizationHandlable.randomize">randomize() (GPy.core.parameterization.parameter_core.OptimizationHandlable method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.mappings.html#GPy.mappings.additive.Additive.randomize">(GPy.mappings.additive.Additive method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.kernel.Kernel.randomize">(GPy.mappings.kernel.Kernel method)</a>
</dt>
<dt><a href="GPy.mappings.html#GPy.mappings.mlp.MLP.randomize">(GPy.mappings.mlp.MLP method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.laplace.Laplace.rasm_mode">rasm_mode() (GPy.inference.latent_function_inference.laplace.Laplace method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.RatQuad">RatQuad (class in GPy.kern._src.stationary)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.rbf.RBF">RBF (class in GPy.kern._src.rbf)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.read_bonedata">read_bonedata() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.read_channels">read_channels() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.read_connections">read_connections() (in module GPy.util.mocap)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.read_documentation">read_documentation() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.read_hierarchy">read_hierarchy() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.read_line">read_line() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.read_root">read_root() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.read_skel">read_skel() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.read_units">read_units() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Reciprocal">Reciprocal (class in GPy.likelihoods.link_functions)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController.recompute_X">recompute_X() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Remapping">Remapping (class in GPy.core.parameterization.ties_and_remappings)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.remove">remove() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.remove">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.lists_and_dicts.ObserverList.remove">(GPy.core.parameterization.lists_and_dicts.ObserverList method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.remove_indices">remove_indices() (in module GPy.core.parameterization.index_operations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized.remove_parameter">remove_parameter() (GPy.core.parameterization.parameterized.Parameterized method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.base_plots.removeRightTicks">removeRightTicks() (in module GPy.plotting.matplot_dep.base_plots)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.removeRightTicks">(in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.base_plots.removeUpperTicks">removeUpperTicks() (in module GPy.plotting.matplot_dep.base_plots)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.removeUpperTicks">(in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.reporthook">reporthook() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation.EP.reset">reset() (GPy.inference.latent_function_inference.expectation_propagation.EP method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC.reset">(GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.stochastics.SparseGPStochastics.reset">(GPy.inference.optimization.stochastics.SparseGPStochastics method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.stochastics.StochasticStorage.reset">(GPy.inference.optimization.stochastics.StochasticStorage method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.caching.Cacher.reset">(GPy.util.caching.Cacher method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.reset">(in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU.reset_derivative">reset_derivative() (GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU.reset_derivative">(GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.resolve_indices">resolve_indices() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.return_psi2_n">return_psi2_n (GPy.kern._src.kern.Kern attribute)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.ripley_synth">ripley_synth() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.robot_wireless">robot_wireless() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dd><dl>
<dt><a href="GPy.examples.html#GPy.examples.regression.robot_wireless">(in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.robot_wireless">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.mocap.rotation_matrix">rotation_matrix() (in module GPy.util.mocap)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.optimization.Optimizer.run">run() (GPy.inference.optimization.optimization.Optimizer method)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize.runsignal">runsignal (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM.rvs">rvs() (GPy.core.parameterization.priors.DGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA.rvs">(GPy.core.parameterization.priors.DGPLVM_KFDA method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gamma.rvs">(GPy.core.parameterization.priors.Gamma method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gaussian.rvs">(GPy.core.parameterization.priors.Gaussian method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.HalfT.rvs">(GPy.core.parameterization.priors.HalfT method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.InverseGamma.rvs">(GPy.core.parameterization.priors.InverseGamma method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.LogGaussian.rvs">(GPy.core.parameterization.priors.LogGaussian method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.MultivariateGaussian.rvs">(GPy.core.parameterization.priors.MultivariateGaussian method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Uniform.rvs">(GPy.core.parameterization.priors.Uniform method)</a>
</dt>
</dl></dd>
</dl></td>
</tr></table>
<h2 id="S">S</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.inference.mcmc.html#GPy.inference.mcmc.hmc.HMC.sample">sample() (GPy.inference.mcmc.hmc.HMC method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.mcmc.html#GPy.inference.mcmc.hmc.HMC_shortcut.sample">(GPy.inference.mcmc.hmc.HMC_shortcut method)</a>
</dt>
<dt><a href="GPy.inference.mcmc.html#GPy.inference.mcmc.samplers.Metropolis_Hastings.sample">(GPy.inference.mcmc.samplers.Metropolis_Hastings method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.sample_class">sample_class() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.bernoulli.Bernoulli.samples">samples() (GPy.likelihoods.bernoulli.Bernoulli method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.exponential.Exponential.samples">(GPy.likelihoods.exponential.Exponential method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.samples">(GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.samples">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.mixed_noise.MixedNoise.samples">(GPy.likelihoods.mixed_noise.MixedNoise method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.poisson.Poisson.samples">(GPy.likelihoods.poisson.Poisson method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.samples">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parameterizable.save">save() (GPy.core.parameterization.parameter_core.Parameterizable method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.normalizer.MeanNorm.scale_by">scale_by() (GPy.util.normalizer.MeanNorm method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.normalizer.Norm.scale_by">(GPy.util.normalizer.Norm method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.normalizer.MeanNorm.scaled">scaled() (GPy.util.normalizer.MeanNorm method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.normalizer.Norm.scaled">(GPy.util.normalizer.Norm method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.scg.SCG">SCG() (in module GPy.inference.optimization.scg)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize.SENTINEL">SENTINEL (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.SpikeAndSlabPosterior.set_gradients">set_gradients() (GPy.core.parameterization.variational.SpikeAndSlabPosterior method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.VariationalPosterior.set_gradients">(GPy.core.parameterization.variational.VariationalPosterior method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.image_show.set_image">set_image() (GPy.plotting.matplot_dep.visualize.image_show method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC.set_limit">set_limit() (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc.VarDTC.set_limit">(GPy.inference.latent_function_inference.var_dtc.VarDTC method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch.set_limit">(GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.set_prior">set_prior() (GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.set_rotation_matrices">set_rotation_matrices() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.set_X">set_X() (GPy.core.gp.GP method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm.BayesianGPLVM.set_X_gradients">set_X_gradients() (GPy.models.bayesian_gplvm.BayesianGPLVM method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.models.html#GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.set_X_gradients">(GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.ss_gplvm.SSGPLVM.set_X_gradients">(GPy.models.ss_gplvm.SSGPLVM method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.html#GPy.core.gp.GP.set_XY">set_XY() (GPy.core.gp.GP method)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.gp.GP.set_Y">set_Y() (GPy.core.gp.GP method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.setDarkFigures">setDarkFigures() (in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.Tango.setLightFigures">setLightFigures() (in module GPy.plotting.matplot_dep.Tango)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.fitc.FITCtest.setUp">setUp() (GPy.testing.fitc.FITCtest method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test.setUp">(GPy.testing.index_operations_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Coregionalize_weave_test.setUp">(GPy.testing.kernel_tests.Coregionalize_weave_test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.setUp">(GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelTestsMiscellaneous.setUp">(GPy.testing.kernel_tests.KernelTestsMiscellaneous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelTestsNonContinuous.setUp">(GPy.testing.kernel_tests.KernelTestsNonContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.LaplaceTests.setUp">(GPy.testing.likelihood_tests.LaplaceTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.setUp">(GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.setUp">(GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests.setUp">(GPy.testing.model_tests.MiscTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.Test.setUp">(GPy.testing.observable_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ArrayCoreTest.setUp">(GPy.testing.parameterized_tests.ArrayCoreTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.setUp">(GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.shift_left">shift_left() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.shift_left">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.shift_right">shift_right() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.shift_right">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.lvm.show_sensitivities">show_sensitivities() (GPy.plotting.matplot_dep.visualize.lvm method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.squashers.sigmoid">sigmoid() (in module GPy.util.squashers)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.decorators.silence_errors">silence_errors() (in module GPy.util.decorators)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.silhouette">silhouette() (in module GPy.examples.regression)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.silhouette">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.simulation_BGPLVM">simulation_BGPLVM() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.squashers.single_softmax">single_softmax() (in module GPy.util.squashers)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.singlecell">singlecell() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.singlecell_rna_seq_deng">singlecell_rna_seq_deng() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.singlecell_rna_seq_islam">singlecell_rna_seq_islam() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.size">size (GPy.core.parameterization.index_operations.ParameterIndexOperations attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.size">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.mocap.skeleton">skeleton (class in GPy.util.mocap)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.skeleton_show">skeleton_show (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.skeleton.smooth_angle_channels">smooth_angle_channels() (GPy.util.mocap.skeleton method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.sod1_mouse">sod1_mouse() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.squashers.softmax">softmax() (in module GPy.util.squashers)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.sparse_GP_regression_1D">sparse_GP_regression_1D() (in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.sparse_GP_regression_2D">sparse_GP_regression_2D() (in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.sparse_gplvm_oil">sparse_gplvm_oil() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.classification.sparse_toy_linear_1d_classification">sparse_toy_linear_1d_classification() (in module GPy.examples.classification)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.sparse_gp.SparseGP">SparseGP (class in GPy.core.sparse_gp)</a>
</dt>
<dt><a href="GPy.core.html#GPy.core.sparse_gp_mpi.SparseGP_MPI">SparseGP_MPI (class in GPy.core.sparse_gp_mpi)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.sparse_gp_classification.SparseGPClassification">SparseGPClassification (class in GPy.models.sparse_gp_classification)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.models.html#GPy.models.sparse_gp_coregionalized_regression.SparseGPCoregionalizedRegression">SparseGPCoregionalizedRegression (class in GPy.models.sparse_gp_coregionalized_regression)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.sparse_gplvm.SparseGPLVM">SparseGPLVM (class in GPy.models.sparse_gplvm)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.sparse_gp_minibatch.SparseGPMiniBatch">SparseGPMiniBatch (class in GPy.models.sparse_gp_minibatch)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.stochastics.SparseGPMissing">SparseGPMissing (class in GPy.inference.optimization.stochastics)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.sparse_gp_regression.SparseGPRegression">SparseGPRegression (class in GPy.models.sparse_gp_regression)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.sparse_gp_regression.SparseGPRegressionUncertainInput">SparseGPRegressionUncertainInput (class in GPy.models.sparse_gp_regression)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.stochastics.SparseGPStochastics">SparseGPStochastics (class in GPy.inference.optimization.stochastics)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.rbf.RBF.spectrum">spectrum() (GPy.kern._src.rbf.RBF method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.spellman_yeast">spellman_yeast() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.spellman_yeast_cdc15">spellman_yeast_cdc15() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.SpikeAndSlabPosterior">SpikeAndSlabPosterior (class in GPy.core.parameterization.variational)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.SpikeAndSlabPrior">SpikeAndSlabPrior (class in GPy.core.parameterization.variational)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.SplitKern">SplitKern (class in GPy.kern._src.splitKern)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.SplitKern_cross">SplitKern_cross (class in GPy.kern._src.splitKern)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Square">Square (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.ss_gplvm.SSGPLVM">SSGPLVM (class in GPy.models.ss_gplvm)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.ssgplvm_oil">ssgplvm_oil() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.ssgplvm.SSGPLVM_plot">SSGPLVM_plot (class in GPy.plotting.matplot_dep.ssgplvm)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.ssgplvm_simulation">ssgplvm_simulation() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.ssgplvm_simulation_linear">ssgplvm_simulation_linear() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.ss_mrd.SSMRD">SSMRD (class in GPy.models.ss_mrd)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Static">Static (class in GPy.kern._src.static)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary">Stationary (class in GPy.kern._src.stationary)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.univariate_Gaussian.std_norm_cdf">std_norm_cdf() (in module GPy.util.univariate_Gaussian)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.univariate_Gaussian.std_norm_cdf_weave">std_norm_cdf_weave() (in module GPy.util.univariate_Gaussian)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.univariate_Gaussian.std_norm_pdf">std_norm_pdf() (in module GPy.util.univariate_Gaussian)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.stick">stick() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.stick_bgplvm">stick_bgplvm() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.stick_play">stick_play() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.stick_show">stick_show (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.inference.optimization.html#GPy.inference.optimization.stochastics.StochasticStorage">StochasticStorage (class in GPy.inference.optimization.stochastics)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.maps.string_match">string_match() (in module GPy.plotting.matplot_dep.maps)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.non_gaussian.student_t_approx">student_t_approx() (in module GPy.examples.non_gaussian)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT">StudentT (class in GPy.likelihoods.student_t)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.diag.subtract">subtract() (in module GPy.util.diag)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Gamma.summary">summary() (GPy.core.parameterization.priors.Gamma method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.MultivariateGaussian.summary">(GPy.core.parameterization.priors.MultivariateGaussian method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.mocap.tree.swap_vertices">swap_vertices() (GPy.util.mocap.tree method)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.dimensionality_reduction.swiss_roll">swiss_roll() (in module GPy.examples.dimensionality_reduction)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.swiss_roll">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.swiss_roll_1000">swiss_roll_1000() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.datasets.swiss_roll_generated">swiss_roll_generated() (in module GPy.util.datasets)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.symmetrify">symmetrify() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.symmetrify_numpy">symmetrify_numpy() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.symmetrify_weave">symmetrify_weave() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU.sync_params">sync_params() (GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.psi_comp.html#GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU.sync_params">(GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU method)</a>
</dt>
</dl></dd>
</dl></td>
</tr></table>
<h2 id="T">T</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_d2logpdf2_df2_dparams">t_d2logpdf2_df2_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_d2logpdf2_dlink2_dparams">t_d2logpdf2_dlink2_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_d2logpdf_df2">t_d2logpdf_df2() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_d2logpdf_dlink2">t_d2logpdf_dlink2() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_d3logpdf_df3">t_d3logpdf_df3() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_d3logpdf_dlink3">t_d3logpdf_dlink3() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_dlogpdf_df">t_dlogpdf_df() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_dlogpdf_df_dparams">t_dlogpdf_df_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_dlogpdf_dlink">t_dlogpdf_dlink() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_dlogpdf_dlink_dparams">t_dlogpdf_dlink_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_dlogpdf_dparams">t_dlogpdf_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_dlogpdf_link_dparams">t_dlogpdf_link_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_ep_fit_rbf_white">t_ep_fit_rbf_white() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_laplace_fit_rbf_white">t_laplace_fit_rbf_white() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.t_logpdf">t_logpdf() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.warping_functions.TanhWarpingFunction">TanhWarpingFunction (class in GPy.util.warping_functions)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.warping_functions.TanhWarpingFunction_d">TanhWarpingFunction_d (class in GPy.util.warping_functions)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.tdot">tdot() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.tdot_blas">tdot_blas() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.linalg.tdot_numpy">tdot_numpy() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.LaplaceTests.tearDown">tearDown() (GPy.testing.likelihood_tests.LaplaceTests method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.tearDown">(GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test">Test (class in GPy.testing.index_operations_tests)</a>
</dt>
<dd><dl>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.Test">(class in GPy.testing.observable_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.Test">(class in GPy.testing.pickle_tests)</a>
</dt>
</dl></dd>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.test_Add">test_Add() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.test_Add_dims">test_Add_dims() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.Test.test_add_observer">test_add_observer() (GPy.testing.pickle_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_add_parameter">test_add_parameter() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_add_parameter_already_in_hirarchy">test_add_parameter_already_in_hirarchy() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_add_parameter_in_hierarchy">test_add_parameter_in_hierarchy() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests.test_big_model">test_big_model() (GPy.testing.model_tests.MiscTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test.test_clear">test_clear() (GPy.testing.index_operations_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_constraints">test_constraints() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_constraints_in_init">test_constraints_in_init() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_constraints_link_unlink">test_constraints_link_unlink() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_constraints_views">test_constraints_views() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_default_constraints">test_default_constraints() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.fitc.FITCtest.test_fitc_1d">test_fitc_1d() (GPy.testing.fitc.FITCtest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.fitc.FITCtest.test_fitc_2d">test_fitc_2d() (GPy.testing.fitc.FITCtest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_fix_unfix">test_fix_unfix() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.prior_tests.PriorTests.test_fixed_domain_check">test_fixed_domain_check() (GPy.testing.prior_tests.PriorTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.prior_tests.PriorTests.test_fixed_domain_check1">test_fixed_domain_check1() (GPy.testing.prior_tests.PriorTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_fixes">test_fixes() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_fixing_optimize">test_fixing_optimize() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_fixing_randomize">test_fixing_randomize() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_fixing_randomize_parameter_handling">test_fixing_randomize_parameter_handling() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.prior_tests.PriorTests.test_Gamma">test_Gamma() (GPy.testing.prior_tests.PriorTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.LaplaceTests.test_gaussian_d2logpdf_df2_2">test_gaussian_d2logpdf_df2_2() (GPy.testing.likelihood_tests.LaplaceTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_generalized_FITC">test_generalized_FITC() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GP_EP_probit">test_GP_EP_probit() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_gp_heteroscedastic_regression">test_gp_heteroscedastic_regression() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_gp_kronecker_gaussian">test_gp_kronecker_gaussian() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_gp_VGPC">test_gp_VGPC() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPLVM_rbf_bias_white_kern_2D">test_GPLVM_rbf_bias_white_kern_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPLVM_rbf_linear_white_kern_2D">test_GPLVM_rbf_linear_white_kern_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_bias_kern_1D">test_GPRegression_bias_kern_1D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_bias_kern_2D">test_GPRegression_bias_kern_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_exponential_1D">test_GPRegression_exponential_1D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_exponential_2D">test_GPRegression_exponential_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_exponential_ARD_2D">test_GPRegression_exponential_ARD_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_linear_kern_1D">test_GPRegression_linear_kern_1D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_linear_kern_1D_ARD">test_GPRegression_linear_kern_1D_ARD() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_linear_kern_2D">test_GPRegression_linear_kern_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_linear_kern_2D_ARD">test_GPRegression_linear_kern_2D_ARD() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_matern32_1D">test_GPRegression_matern32_1D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_matern32_2D">test_GPRegression_matern32_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_matern32_ARD_2D">test_GPRegression_matern32_ARD_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_matern52_1D">test_GPRegression_matern52_1D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_matern52_2D">test_GPRegression_matern52_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_matern52_ARD_2D">test_GPRegression_matern52_ARD_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_mlp_1d">test_GPRegression_mlp_1d() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_rbf_1d">test_GPRegression_rbf_1d() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_rbf_2D">test_GPRegression_rbf_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_GPRegression_rbf_ARD_2D">test_GPRegression_rbf_ARD_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelTestsNonContinuous.test_Hierarchical">test_Hierarchical() (GPy.testing.kernel_tests.KernelTestsNonContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.prior_tests.PriorTests.test_incompatibility">test_incompatibility() (GPy.testing.prior_tests.PriorTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelTestsNonContinuous.test_IndependentOutputs">test_IndependentOutputs() (GPy.testing.kernel_tests.KernelTestsNonContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test.test_index_view">test_index_view() (GPy.testing.index_operations_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test.test_indexview_remove">test_indexview_remove() (GPy.testing.index_operations_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.inference_tests.InferenceXTestCase.test_inferenceX_BGPLVM">test_inferenceX_BGPLVM() (GPy.testing.inference_tests.InferenceXTestCase method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.inference_tests.InferenceXTestCase.test_inferenceX_GPLVM">test_inferenceX_GPLVM() (GPy.testing.inference_tests.InferenceXTestCase method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ArrayCoreTest.test_init">test_init() (GPy.testing.parameterized_tests.ArrayCoreTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.LaplaceTests.test_laplace_log_likelihood">test_laplace_log_likelihood() (GPy.testing.likelihood_tests.LaplaceTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests.test_likelihood_replicate">test_likelihood_replicate() (GPy.testing.model_tests.MiscTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests.test_likelihood_replicate_kern">test_likelihood_replicate_kern() (GPy.testing.model_tests.MiscTests method)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests.test_likelihood_set">test_likelihood_set() (GPy.testing.model_tests.MiscTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.test_Linear">test_Linear() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.test_LinearFull">test_LinearFull() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.prior_tests.PriorTests.test_lognormal">test_lognormal() (GPy.testing.prior_tests.PriorTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.test_Matern32">test_Matern32() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.test_Matern52">test_Matern52() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test.test_misc">test_misc() (GPy.testing.index_operations_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests.test_missing_data">test_missing_data() (GPy.testing.model_tests.MiscTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.Test.test_model">test_model() (GPy.testing.pickle_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.Test.test_model_concat">test_model_concat() (GPy.testing.pickle_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests.test_model_optimize">test_model_optimize() (GPy.testing.model_tests.MiscTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests.test_model_set_params">test_model_set_params() (GPy.testing.model_tests.MiscTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.Test.test_modelrecreation">test_modelrecreation() (GPy.testing.pickle_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.examples_tests.test_models">test_models() (in module GPy.testing.examples_tests)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_multioutput_regression_1D">test_multioutput_regression_1D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_multioutput_sparse_regression_1D">test_multioutput_sparse_regression_1D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Coregionalize_weave_test.test_nonsym">test_nonsym() (GPy.testing.kernel_tests.Coregionalize_weave_test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.Test.test_observable">test_observable() (GPy.testing.observable_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.Test.test_observable_array">test_observable_array() (GPy.testing.pickle_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelTestsNonContinuous.test_ODE_UY">test_ODE_UY() (GPy.testing.kernel_tests.KernelTestsNonContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.Test.test_param">test_param() (GPy.testing.pickle_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.Test.test_parameter_index_operations">test_parameter_index_operations() (GPy.testing.pickle_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_parameter_modify_in_init">test_parameter_modify_in_init() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.Test.test_parameterized">test_parameterized() (GPy.testing.pickle_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.Test.test_posterior">test_posterior() (GPy.testing.pickle_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test.test_print">test_print() (GPy.testing.index_operations_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_printing">test_printing() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.Test.test_priority">test_priority() (GPy.testing.observable_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.Test.test_priority_notify">test_priority_notify() (GPy.testing.observable_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.test_Prod">test_Prod() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.test_Prod2">test_Prod2() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.test_Prod3">test_Prod3() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_randomize">test_randomize() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests.test_raw_predict">test_raw_predict() (GPy.testing.model_tests.MiscTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelGradientTestsContinuous.test_RBF">test_RBF() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_regular_expression_misc">test_regular_expression_misc() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test.test_remove">test_remove() (GPy.testing.index_operations_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_remove_parameter">test_remove_parameter() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_remove_parameter_param_array_grad_array">test_remove_parameter_param_array_grad_array() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels.test_scale2_models">test_scale2_models() (GPy.testing.likelihood_tests.TestNoiseModels method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.prior_tests.PriorTests.test_set_gaussian_for_reals">test_set_gaussian_for_reals() (GPy.testing.prior_tests.PriorTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.observable_tests.Test.test_set_params">test_set_params() (GPy.testing.observable_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.prior_tests.PriorTests.test_set_prior">test_set_prior() (GPy.testing.prior_tests.PriorTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test.test_shift_left">test_shift_left() (GPy.testing.index_operations_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test.test_shift_right">test_shift_right() (GPy.testing.index_operations_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ArrayCoreTest.test_slice">test_slice() (GPy.testing.parameterized_tests.ArrayCoreTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_sparse_EP_DTC_probit">test_sparse_EP_DTC_probit() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_sparse_gp_heteroscedastic_regression">test_sparse_gp_heteroscedastic_regression() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.MiscTests.test_sparse_raw_predict">test_sparse_raw_predict() (GPy.testing.model_tests.MiscTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_SparseGPRegression_rbf_linear_white_kern_1D">test_SparseGPRegression_rbf_linear_white_kern_1D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_SparseGPRegression_rbf_linear_white_kern_1D_uncertain_inputs">test_SparseGPRegression_rbf_linear_white_kern_1D_uncertain_inputs() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_SparseGPRegression_rbf_linear_white_kern_2D">test_SparseGPRegression_rbf_linear_white_kern_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_SparseGPRegression_rbf_linear_white_kern_2D_uncertain_inputs">test_SparseGPRegression_rbf_linear_white_kern_2D_uncertain_inputs() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_SparseGPRegression_rbf_white_kern_1d">test_SparseGPRegression_rbf_white_kern_1d() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.model_tests.GradientTests.test_SparseGPRegression_rbf_white_kern_2D">test_SparseGPRegression_rbf_white_kern_2D() (GPy.testing.model_tests.GradientTests method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.Coregionalize_weave_test.test_sym">test_sym() (GPy.testing.kernel_tests.Coregionalize_weave_test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.parameterized_tests.ParameterizedTest.test_updates">test_updates() (GPy.testing.parameterized_tests.ParameterizedTest method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.index_operations_tests.Test.test_view_of_view">test_view_of_view() (GPy.testing.index_operations_tests.Test method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.kernel_tests.KernelTestsMiscellaneous.test_which_parts">test_which_parts() (GPy.testing.kernel_tests.KernelTestsMiscellaneous method)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.likelihood_tests.TestNoiseModels">TestNoiseModels (class in GPy.testing.likelihood_tests)</a>
</dt>
<dt><a href="GPy.html#GPy.tests">tests() (in module GPy)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.ties_and_remappings.Tie">Tie (class in GPy.core.parameterization.ties_and_remappings)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.tie_together">tie_together() (GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.diag.times">times() (in module GPy.util.diag)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.acclaim_skeleton.to_xyz">to_xyz() (GPy.util.mocap.acclaim_skeleton method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.mocap.skeleton.to_xyz">(GPy.util.mocap.skeleton method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.examples.html#GPy.examples.regression.toy_ARD">toy_ARD() (in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.toy_ARD_sparse">toy_ARD_sparse() (in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.classification.toy_heaviside">toy_heaviside() (in module GPy.examples.classification)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.classification.toy_linear_1d_classification">toy_linear_1d_classification() (in module GPy.examples.classification)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.toy_linear_1d_classification">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.examples.html#GPy.examples.classification.toy_linear_1d_classification_laplace">toy_linear_1d_classification_laplace() (in module GPy.examples.classification)</a>
</dt>
<dt><a href="GPy.testing.html#GPy.testing.pickle_tests.toy_model">toy_model() (in module GPy.testing.pickle_tests)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.toy_poisson_rbf_1d_laplace">toy_poisson_rbf_1d_laplace() (in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.examples.html#GPy.examples.regression.toy_rbf_1d">toy_rbf_1d() (in module GPy.examples.regression)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.toy_rbf_1d">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.examples.html#GPy.examples.regression.toy_rbf_1d_50">toy_rbf_1d_50() (in module GPy.examples.regression)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.datasets.toy_rbf_1d_50">(in module GPy.util.datasets)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.linalg.trace_dot">trace_dot() (in module GPy.util.linalg)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Cloglog.transf">transf() (GPy.likelihoods.link_functions.Cloglog method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.GPTransformation.transf">(GPy.likelihoods.link_functions.GPTransformation method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Heaviside.transf">(GPy.likelihoods.link_functions.Heaviside method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Identity.transf">(GPy.likelihoods.link_functions.Identity method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Log.transf">(GPy.likelihoods.link_functions.Log method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Log_ex_1.transf">(GPy.likelihoods.link_functions.Log_ex_1 method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Probit.transf">(GPy.likelihoods.link_functions.Probit method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.link_functions.Reciprocal.transf">(GPy.likelihoods.link_functions.Reciprocal method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.models.html#GPy.models.warped_gp.WarpedGP.transform_data">transform_data() (GPy.models.warped_gp.WarpedGP method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.transformations.Transformation">Transformation (class in GPy.core.parameterization.transformations)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parameterizable.traverse">traverse() (GPy.core.parameterization.parameter_core.Parameterizable method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parameterizable.traverse_parents">traverse_parents() (GPy.core.parameterization.parameter_core.Parameterizable method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.tree">tree (class in GPy.util.mocap)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear">TruncLinear (class in GPy.kern._src.trunclinear)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear_inf">TruncLinear_inf (class in GPy.kern._src.trunclinear)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="U">U</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.examples.html#GPy.examples.regression.uncertain_inputs_sparse_regression">uncertain_inputs_sparse_regression() (in module GPy.examples.regression)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.unconstrain">unconstrain() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.unconstrain">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.unconstrain_bounded">unconstrain_bounded() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.unconstrain_bounded">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.unconstrain_fixed">unconstrain_fixed() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.unconstrain_fixed">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.unconstrain_negative">unconstrain_negative() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.unconstrain_negative">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.unconstrain_positive">unconstrain_positive() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.unconstrain_positive">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.unfix">unfix() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.unfix">(GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Parameterizable.unfixed_param_array">unfixed_param_array (GPy.core.parameterization.parameter_core.Parameterizable attribute)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.Uniform">Uniform (class in GPy.core.parameterization.priors)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.priors_plots.univariate_plot">univariate_plot() (in module GPy.plotting.matplot_dep.priors_plots)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameterized.Parameterized.unlink_parameter">unlink_parameter() (GPy.core.parameterization.parameterized.Parameterized method)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.parameter_core.Indexable.unset_priors">unset_priors() (GPy.core.parameterization.parameter_core.Indexable method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.untie">untie() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperations.update">update() (GPy.core.parameterization.index_operations.ParameterIndexOperations method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.index_operations.ParameterIndexOperationsView.update">(GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController.update">(GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController.update">(GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.update_all_params">update_all_params() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.gaussian.Gaussian.update_gradients">update_gradients() (GPy.likelihoods.gaussian.Gaussian method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.update_gradients">(GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.mixed_noise.MixedNoise.update_gradients">(GPy.likelihoods.mixed_noise.MixedNoise method)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.student_t.StudentT.update_gradients">(GPy.likelihoods.student_t.StudentT method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc_parallel.update_gradients">(in module GPy.inference.latent_function_inference.var_dtc_parallel)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.update_gradients_diag">update_gradients_diag() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.coregionalize.Coregionalize.update_gradients_diag">(GPy.kern._src.coregionalize.Coregionalize method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.IndependentOutputs.update_gradients_diag">(GPy.kern._src.independent_outputs.IndependentOutputs method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.update_gradients_diag">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.update_gradients_diag">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.LinearFull.update_gradients_diag">(GPy.kern._src.linear.LinearFull method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.mlp.MLP.update_gradients_diag">(GPy.kern._src.mlp.MLP method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.poly.Poly.update_gradients_diag">(GPy.kern._src.poly.Poly method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.prod.Prod.update_gradients_diag">(GPy.kern._src.prod.Prod method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.DiffGenomeKern.update_gradients_diag">(GPy.kern._src.splitKern.DiffGenomeKern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.SplitKern.update_gradients_diag">(GPy.kern._src.splitKern.SplitKern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.SplitKern_cross.update_gradients_diag">(GPy.kern._src.splitKern.SplitKern_cross method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Bias.update_gradients_diag">(GPy.kern._src.static.Bias method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Fixed.update_gradients_diag">(GPy.kern._src.static.Fixed method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.White.update_gradients_diag">(GPy.kern._src.static.White method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.RatQuad.update_gradients_diag">(GPy.kern._src.stationary.RatQuad method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.update_gradients_diag">(GPy.kern._src.stationary.Stationary method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear.update_gradients_diag">(GPy.kern._src.trunclinear.TruncLinear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear_inf.update_gradients_diag">(GPy.kern._src.trunclinear.TruncLinear_inf method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.update_gradients_expectations">update_gradients_expectations() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.update_gradients_expectations">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.update_gradients_expectations">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.rbf.RBF.update_gradients_expectations">(GPy.kern._src.rbf.RBF method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Bias.update_gradients_expectations">(GPy.kern._src.static.Bias method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Fixed.update_gradients_expectations">(GPy.kern._src.static.Fixed method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.White.update_gradients_expectations">(GPy.kern._src.static.White method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.kern._src.html#GPy.kern._src.add.Add.update_gradients_full">update_gradients_full() (GPy.kern._src.add.Add method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_UY.ODE_UY.update_gradients_full">(GPy.kern._src.ODE_UY.ODE_UY method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_UYC.ODE_UYC.update_gradients_full">(GPy.kern._src.ODE_UYC.ODE_UYC method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_st.ODE_st.update_gradients_full">(GPy.kern._src.ODE_st.ODE_st method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.ODE_t.ODE_t.update_gradients_full">(GPy.kern._src.ODE_t.ODE_t method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.brownian.Brownian.update_gradients_full">(GPy.kern._src.brownian.Brownian method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.coregionalize.Coregionalize.update_gradients_full">(GPy.kern._src.coregionalize.Coregionalize method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.Hierarchical.update_gradients_full">(GPy.kern._src.independent_outputs.Hierarchical method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.independent_outputs.IndependentOutputs.update_gradients_full">(GPy.kern._src.independent_outputs.IndependentOutputs method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.kern.Kern.update_gradients_full">(GPy.kern._src.kern.Kern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.Linear.update_gradients_full">(GPy.kern._src.linear.Linear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.linear.LinearFull.update_gradients_full">(GPy.kern._src.linear.LinearFull method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.mlp.MLP.update_gradients_full">(GPy.kern._src.mlp.MLP method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicExponential.update_gradients_full">(GPy.kern._src.periodic.PeriodicExponential method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicMatern32.update_gradients_full">(GPy.kern._src.periodic.PeriodicMatern32 method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.periodic.PeriodicMatern52.update_gradients_full">(GPy.kern._src.periodic.PeriodicMatern52 method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.poly.Poly.update_gradients_full">(GPy.kern._src.poly.Poly method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.prod.Prod.update_gradients_full">(GPy.kern._src.prod.Prod method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.DiffGenomeKern.update_gradients_full">(GPy.kern._src.splitKern.DiffGenomeKern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.SplitKern.update_gradients_full">(GPy.kern._src.splitKern.SplitKern method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.splitKern.SplitKern_cross.update_gradients_full">(GPy.kern._src.splitKern.SplitKern_cross method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Bias.update_gradients_full">(GPy.kern._src.static.Bias method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.Fixed.update_gradients_full">(GPy.kern._src.static.Fixed method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.White.update_gradients_full">(GPy.kern._src.static.White method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.RatQuad.update_gradients_full">(GPy.kern._src.stationary.RatQuad method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.update_gradients_full">(GPy.kern._src.stationary.Stationary method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear.update_gradients_full">(GPy.kern._src.trunclinear.TruncLinear method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.trunclinear.TruncLinear_inf.update_gradients_full">(GPy.kern._src.trunclinear.TruncLinear_inf method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.NormalPrior.update_gradients_KL">update_gradients_KL() (GPy.core.parameterization.variational.NormalPrior method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.SpikeAndSlabPrior.update_gradients_KL">(GPy.core.parameterization.variational.SpikeAndSlabPrior method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.VariationalPrior.update_gradients_KL">(GPy.core.parameterization.variational.VariationalPrior method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc_parallel.update_gradients_sparsegp">update_gradients_sparsegp() (in module GPy.inference.latent_function_inference.var_dtc_parallel)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController.update_view">update_view() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller.ImAnnotateController.update_view">(GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller.ImAnnotateController method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller.ImshowController.update_view">(GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller.ImshowController method)</a>
</dt>
</dl></dd>
</dl></td>
</tr></table>
<h2 id="V">V</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.observable_array.ObsAr.values">values (GPy.core.parameterization.observable_array.ObsAr attribute)</a>
</dt>
<dd><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.Param.values">(GPy.core.parameterization.param.Param attribute)</a>
</dt>
</dl></dd>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.param.ParamConcatenation.values">values() (GPy.core.parameterization.param.ParamConcatenation method)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc.VarDTC">VarDTC (class in GPy.inference.latent_function_inference.var_dtc)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch">VarDTC_minibatch (class in GPy.inference.latent_function_inference.var_dtc_parallel)</a>
</dt>
<dt><a href="GPy.likelihoods.html#GPy.likelihoods.likelihood.Likelihood.variational_expectations">variational_expectations() (GPy.likelihoods.likelihood.Likelihood method)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.VariationalPosterior">VariationalPosterior (class in GPy.core.parameterization.variational)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.variational.VariationalPrior">VariationalPrior (class in GPy.core.parameterization.variational)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.dtc.vDTC">vDTC (class in GPy.inference.latent_function_inference.dtc)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.vector_show">vector_show (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.mocap.vertex">vertex (class in GPy.util.mocap)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.diag.view">view() (in module GPy.util.diag)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.vpython_show">vpython_show (class in GPy.plotting.matplot_dep.visualize)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="W">W</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.laplace.warning_on_one_line">warning_on_one_line() (in module GPy.inference.latent_function_inference.laplace)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.warped_gp.WarpedGP">WarpedGP (class in GPy.models.warped_gp)</a>
</dt>
<dt><a href="GPy.models.html#GPy.models.warped_gp.WarpedGP.warping_function_gradients">warping_function_gradients() (GPy.models.warped_gp.WarpedGP method)</a>
</dt>
<dt><a href="GPy.util.html#GPy.util.warping_functions.WarpingFunction">WarpingFunction (class in GPy.util.warping_functions)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.stationary.Stationary.weave_lengthscale_grads">weave_lengthscale_grads() (GPy.kern._src.stationary.Stationary method)</a>
</dt>
<dt><a href="GPy.kern._src.html#GPy.kern._src.static.White">White (class in GPy.kern._src.static)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.posterior.Posterior.woodbury_chol">woodbury_chol (GPy.inference.latent_function_inference.posterior.Posterior attribute)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.posterior.Posterior.woodbury_inv">woodbury_inv (GPy.inference.latent_function_inference.posterior.Posterior attribute)</a>
</dt>
<dt><a href="GPy.inference.latent_function_inference.html#GPy.inference.latent_function_inference.posterior.Posterior.woodbury_vector">woodbury_vector (GPy.inference.latent_function_inference.posterior.Posterior attribute)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.visualize.skeleton_show.wrap_around">wrap_around() (GPy.plotting.matplot_dep.visualize.skeleton_show method)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.netpbmfile.NetpbmFile.write">write() (GPy.plotting.matplot_dep.netpbmfile.NetpbmFile method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.util.html#GPy.util.netpbmfile.NetpbmFile.write">(GPy.util.netpbmfile.NetpbmFile method)</a>
</dt>
</dl></dd>
</dl></td>
</tr></table>
<h2 id="X">X</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.base_plots.x_frame1D">x_frame1D() (in module GPy.plotting.matplot_dep.base_plots)</a>
</dt>
<dt><a href="GPy.plotting.matplot_dep.html#GPy.plotting.matplot_dep.base_plots.x_frame2D">x_frame2D() (in module GPy.plotting.matplot_dep.base_plots)</a>
</dt>
<dt><a href="GPy.core.parameterization.html#GPy.core.parameterization.priors.DGPLVM_KFDA.x_reduced">x_reduced() (GPy.core.parameterization.priors.DGPLVM_KFDA method)</a>
</dt>
</dl></td>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController.xlim_changed">xlim_changed() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController.xlim_changed">(GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController method)</a>
</dt>
</dl></dd>
<dt><a href="GPy.util.html#GPy.util.datasets.xw_pen">xw_pen() (in module GPy.util.datasets)</a>
</dt>
</dl></td>
</tr></table>
<h2 id="Y">Y</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%" valign="top"><dl>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController.ylim_changed">ylim_changed() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController method)</a>
</dt>
<dd><dl>
<dt><a href="GPy.plotting.matplot_dep.latent_space_visualizations.controllers.html#GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController.ylim_changed">(GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController method)</a>
</dt>
</dl></dd>
</dl></td>
</tr></table>
</div>
</div>
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