Index

A

acclaim_skeleton (class in GPy.util.mocap) activate() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController method) Add (class in GPy.kern._src.add) add() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) (GPy.core.parameterization.lists_and_dicts.ObserverList method) (GPy.kern._src.add.Add method) (GPy.kern._src.kern.Kern method) (in module GPy.util.diag) add_bar_labels() (in module GPy.plotting.matplot_dep.kernel_plots) add_parameter() (GPy.core.parameterization.parameterized.Parameterized method) add_tied_parameter() (GPy.core.parameterization.ties_and_remappings.Tie method) add_to_cache() (GPy.util.caching.Cacher method) Additive (class in GPy.mappings.additive) adjust_name_for_printing() (in module GPy.core.parameterization.parameter_core) align_subplot_array() (in module GPy.plotting.matplot_dep.base_plots) align_subplots() (in module GPy.plotting.matplot_dep.base_plots) apply_bbox() (in module GPy.plotting.matplot_dep.maps)

ArrayCoreTest (class in GPy.testing.parameterized_tests) ArrayList (class in GPy.core.parameterization.lists_and_dicts) asarray() (GPy.plotting.matplot_dep.netpbmfile.NetpbmFile method) (GPy.util.netpbmfile.NetpbmFile method) assertArrayListEquals() (GPy.testing.pickle_tests.ListDictTestCase method) assertListDictEquals() (GPy.testing.pickle_tests.ListDictTestCase method) async_callback_collect() (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize method) Async_Optimize (class in GPy.inference.optimization.conjugate_gradient_descent) at_least_one_element() (in module GPy.models.gradient_checker) authorize_download() (in module GPy.util.datasets) ax_default() (in module GPy.plotting.matplot_dep.base_plots) AxisChangedController (class in GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller) AxisEventController (class in GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller)

B

backsub_both_sides() (in module GPy.util.linalg) BayesianGPLVM (class in GPy.models.bayesian_gplvm) BayesianGPLVMMiniBatch (class in GPy.models.bayesian_gplvm_minibatch) bbox_match() (in module GPy.plotting.matplot_dep.maps) BCGPLVM (class in GPy.models.bcgplvm) bcgplvm_linear_stick() (in module GPy.examples.dimensionality_reduction) bcgplvm_stick() (in module GPy.examples.dimensionality_reduction) Bernoulli (class in GPy.likelihoods.bernoulli) betaY() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.mixed_noise.MixedNoise method) bgplvm_oil() (in module GPy.examples.dimensionality_reduction) bgplvm_simulation() (in module GPy.examples.dimensionality_reduction) bgplvm_simulation_missing_data() (in module GPy.examples.dimensionality_reduction) bgplvm_test_model() (in module GPy.examples.dimensionality_reduction)

Bias (class in GPy.kern._src.static) Bijective_mapping (class in GPy.core.mapping) boston_example() (in module GPy.examples.non_gaussian) boston_housing() (in module GPy.util.datasets) boxjenkins_airline() (in module GPy.util.datasets) branch_str() (GPy.util.mocap.tree method) brendan_faces() (in module GPy.examples.dimensionality_reduction) (in module GPy.util.datasets) Brownian (class in GPy.kern._src.brownian) BufferedAxisChangedController (class in GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller) build_likelihood() (in module GPy.util.multioutput) build_pydot() (GPy.core.parameterization.param.Param method) (GPy.core.parameterization.parameterized.Parameterized method) build_XY() (in module GPy.util.multioutput)

C

Cache_this (class in GPy.util.caching) Cacher (class in GPy.util.caching) Cacher_wrap (class in GPy.util.caching) callback() (GPy.core.parameterization.ties_and_remappings.Remapping method) (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize method) center() (GPy.util.pca.PCA method) CGD (class in GPy.inference.optimization.conjugate_gradient_descent) chain_1() (in module GPy.util.misc) chain_2() (in module GPy.util.misc) chain_3() (in module GPy.util.misc) check_kernel_gradient_functions() (in module GPy.testing.kernel_tests) check_model() (GPy.testing.model_tests.GradientTests method) checkFinite() (in module GPy.util.debug) checkFullRank() (in module GPy.util.debug) checkgrad() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Gradcheckable method) cholupdate() (in module GPy.util.linalg) cifar10_patches() (in module GPy.util.datasets) clear() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) clip_exp() (in module GPy.util.functions) Cloglog (class in GPy.likelihoods.link_functions) close() (GPy.plotting.matplot_dep.netpbmfile.NetpbmFile method) (GPy.plotting.matplot_dep.visualize.data_show method) (GPy.plotting.matplot_dep.visualize.matplotlib_show method) (GPy.plotting.matplot_dep.visualize.vpython_show method) (GPy.util.netpbmfile.NetpbmFile method) closeGPU() (in module GPy.util.gpu_init) cmu_mocap() (in module GPy.examples.dimensionality_reduction) (in module GPy.util.datasets) cmu_mocap_35_walk_jog() (in module GPy.util.datasets) cmu_mocap_49_balance() (in module GPy.util.datasets) cmu_urls_files() (in module GPy.util.datasets) collate_gradient() (GPy.core.parameterization.ties_and_remappings.Tie method) CombinationKernel (class in GPy.kern._src.kern) combine_indices() (in module GPy.core.parameterization.index_operations) combine_inputs() (GPy.util.caching.Cacher method) common_subarrays() (in module GPy.util.subarray_and_sorting) compute_A() (GPy.core.parameterization.priors.DGPLVM_KFDA method) compute_a() (GPy.core.parameterization.priors.DGPLVM_KFDA method) compute_cls() (GPy.core.parameterization.priors.DGPLVM method) (GPy.core.parameterization.priors.DGPLVM_KFDA method)

compute_dL() (GPy.inference.latent_function_inference.inferenceX.InferenceX method) compute_indices() (GPy.core.parameterization.priors.DGPLVM method) compute_listIndices() (GPy.core.parameterization.priors.DGPLVM method) compute_lst_ni() (GPy.core.parameterization.priors.DGPLVM_KFDA method) compute_Mi() (GPy.core.parameterization.priors.DGPLVM method) compute_Sb() (GPy.core.parameterization.priors.DGPLVM method) compute_sig_alpha_W() (GPy.core.parameterization.priors.DGPLVM method) compute_sig_beta_Bi() (GPy.core.parameterization.priors.DGPLVM method) compute_Sw() (GPy.core.parameterization.priors.DGPLVM method) compute_wj() (GPy.core.parameterization.priors.DGPLVM method) conditional_mean() (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.poisson.Poisson method) (GPy.likelihoods.student_t.StudentT method) conditional_variance() (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.poisson.Poisson method) (GPy.likelihoods.student_t.StudentT method) conf_matrix() (in module GPy.util.classification) connection_matrix() (GPy.util.mocap.skeleton method) const_jitter (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC attribute) (GPy.inference.latent_function_inference.fitc.FITC attribute) (GPy.inference.latent_function_inference.var_dtc.VarDTC attribute) (GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch attribute) constrain() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) constrain_bounded() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) constrain_fixed() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) constrain_negative() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) constrain_positive() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) copy() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) (GPy.core.parameterization.observable_array.ObsAr method) (GPy.core.parameterization.param.Param method) (GPy.core.parameterization.parameter_core.Pickleable method) (GPy.core.parameterization.parameterized.Parameterized method) coregionalization_sparse() (in module GPy.examples.regression) coregionalization_toy() (in module GPy.examples.regression) Coregionalize (class in GPy.kern._src.coregionalize) Coregionalize_weave_test (class in GPy.testing.kernel_tests) Cosine (class in GPy.kern._src.stationary) covariance (GPy.inference.latent_function_inference.posterior.Posterior attribute) creep_data() (in module GPy.util.datasets) crescent_data() (in module GPy.examples.classification) (in module GPy.util.datasets) currentDark() (in module GPy.plotting.matplot_dep.Tango) currentLight() (in module GPy.plotting.matplot_dep.Tango) currentMedium() (in module GPy.plotting.matplot_dep.Tango)

D

d2logpdf_df2() (GPy.likelihoods.likelihood.Likelihood method) d2logpdf_df2_dtheta() (GPy.likelihoods.likelihood.Likelihood method) d2logpdf_dlink2() (GPy.likelihoods.bernoulli.Bernoulli method) (GPy.likelihoods.exponential.Exponential method) (GPy.likelihoods.gamma.Gamma method) (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.poisson.Poisson method) (GPy.likelihoods.student_t.StudentT method) d2logpdf_dlink2_dtheta() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.student_t.StudentT method) d2logpdf_dlink2_dvar() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.student_t.StudentT method) d2transf_df2() (GPy.likelihoods.link_functions.Cloglog method) (GPy.likelihoods.link_functions.GPTransformation method) (GPy.likelihoods.link_functions.Heaviside method) (GPy.likelihoods.link_functions.Identity method) (GPy.likelihoods.link_functions.Log method) (GPy.likelihoods.link_functions.Log_ex_1 method) (GPy.likelihoods.link_functions.Probit method) (GPy.likelihoods.link_functions.Reciprocal method) d3logpdf_df3() (GPy.likelihoods.likelihood.Likelihood method) d3logpdf_dlink3() (GPy.likelihoods.bernoulli.Bernoulli method) (GPy.likelihoods.exponential.Exponential method) (GPy.likelihoods.gamma.Gamma method) (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.poisson.Poisson method) (GPy.likelihoods.student_t.StudentT method) d3transf_df3() (GPy.likelihoods.link_functions.Cloglog method) (GPy.likelihoods.link_functions.GPTransformation method) (GPy.likelihoods.link_functions.Identity method) (GPy.likelihoods.link_functions.Log method) (GPy.likelihoods.link_functions.Log_ex_1 method) (GPy.likelihoods.link_functions.Probit method) (GPy.likelihoods.link_functions.Reciprocal method) data_available() (in module GPy.util.datasets) data_details_return() (in module GPy.util.datasets) data_play() (in module GPy.plotting.matplot_dep.visualize) data_show (class in GPy.plotting.matplot_dep.visualize) deactivate() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController method) decampos_digits() (in module GPy.util.datasets) deepTest() (in module GPy.testing) della_gatta_TRP63_gene_expression() (in module GPy.util.datasets) df_dtheta() (GPy.core.mapping.Mapping method) (GPy.mappings.additive.Additive method) (GPy.mappings.kernel.Kernel method) (GPy.mappings.linear.Linear method) (GPy.mappings.mlp.MLP method) df_dX() (GPy.core.mapping.Mapping method) (GPy.mappings.additive.Additive method) (GPy.mappings.kernel.Kernel method) (GPy.mappings.mlp.MLP method) DGPLVM (class in GPy.core.parameterization.priors) DGPLVM_KFDA (class in GPy.core.parameterization.priors) differfln() (in module GPy.util.functions) DiffGenomeKern (class in GPy.kern._src.splitKern) divide() (in module GPy.util.diag) divide_data() (in module GPy.util.parallel) dK_dr() (GPy.kern._src.rbf.RBF method) (GPy.kern._src.stationary.Cosine method) (GPy.kern._src.stationary.ExpQuad method) (GPy.kern._src.stationary.Exponential method) (GPy.kern._src.stationary.Matern32 method) (GPy.kern._src.stationary.Matern52 method) (GPy.kern._src.stationary.OU method) (GPy.kern._src.stationary.RatQuad method) (GPy.kern._src.stationary.Stationary method) dK_dr_via_X (GPy.kern._src.stationary.Stationary attribute) dL_dX() (GPy.mappings.linear.Linear method) dlogpdf_df() (GPy.likelihoods.likelihood.Likelihood method) dlogpdf_df_dtheta() (GPy.likelihoods.likelihood.Likelihood method)

dlogpdf_dlink() (GPy.likelihoods.bernoulli.Bernoulli method) (GPy.likelihoods.exponential.Exponential method) (GPy.likelihoods.gamma.Gamma method) (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.poisson.Poisson method) (GPy.likelihoods.student_t.StudentT method) dlogpdf_dlink_dtheta() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.student_t.StudentT method) dlogpdf_dlink_dvar() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.student_t.StudentT method) dlogpdf_dtheta() (GPy.likelihoods.likelihood.Likelihood method) dlogpdf_link_dtheta() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.student_t.StudentT method) dlogpdf_link_dvar() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.student_t.StudentT method) dmu_dX() (GPy.models.bayesian_gplvm.BayesianGPLVM method) (GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method) dmu_dXnew() (GPy.models.bayesian_gplvm.BayesianGPLVM method) (GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method) do_stochastics() (GPy.inference.optimization.stochastics.SparseGPStochastics method) (GPy.inference.optimization.stochastics.StochasticStorage method) do_test_latents() (GPy.models.bayesian_gplvm.BayesianGPLVM method) (GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method) domain (GPy.core.parameterization.priors.DGPLVM attribute) (GPy.core.parameterization.priors.DGPLVM_KFDA attribute) (GPy.core.parameterization.priors.Gamma attribute) (GPy.core.parameterization.priors.Gaussian attribute) (GPy.core.parameterization.priors.HalfT attribute) (GPy.core.parameterization.priors.InverseGamma attribute) (GPy.core.parameterization.priors.LogGaussian attribute) (GPy.core.parameterization.priors.MultivariateGaussian attribute) (GPy.core.parameterization.priors.Prior attribute) (GPy.core.parameterization.priors.Uniform attribute) (GPy.core.parameterization.transformations.Exponent attribute) (GPy.core.parameterization.transformations.Logexp attribute) (GPy.core.parameterization.transformations.LogexpClipped attribute) (GPy.core.parameterization.transformations.LogexpNeg attribute) (GPy.core.parameterization.transformations.Logistic attribute) (GPy.core.parameterization.transformations.NegativeExponent attribute) (GPy.core.parameterization.transformations.NegativeLogexp attribute) (GPy.core.parameterization.transformations.Square attribute) (GPy.core.parameterization.transformations.Transformation attribute) download_data() (in module GPy.util.datasets) download_rogers_girolami_data() (in module GPy.util.datasets) download_url() (in module GPy.util.datasets) dparam_checkgrad() (in module GPy.testing.likelihood_tests) dparam_partial() (in module GPy.testing.likelihood_tests) dpotri() (in module GPy.util.linalg) dpotrs() (in module GPy.util.linalg) draw_edges() (GPy.plotting.matplot_dep.visualize.mocap_data_show method) (GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method) draw_vertices() (GPy.plotting.matplot_dep.visualize.mocap_data_show method) (GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method) drosophila_knirps() (in module GPy.util.datasets) drosophila_protein() (in module GPy.util.datasets) DSYR() (in module GPy.util.linalg) DSYR_blas() (in module GPy.util.linalg) DSYR_numpy() (in module GPy.util.linalg) DTC (class in GPy.inference.latent_function_inference.dtc) dtransf_df() (GPy.likelihoods.link_functions.Cloglog method) (GPy.likelihoods.link_functions.GPTransformation method) (GPy.likelihoods.link_functions.Heaviside method) (GPy.likelihoods.link_functions.Identity method) (GPy.likelihoods.link_functions.Log method) (GPy.likelihoods.link_functions.Log_ex_1 method) (GPy.likelihoods.link_functions.Probit method) (GPy.likelihoods.link_functions.Reciprocal method) dtrtri() (in module GPy.util.linalg) dtrtrs() (in module GPy.util.linalg)

E

ensure_cache_length() (GPy.util.caching.Cacher method) ensure_default_constraints() (GPy.core.model.Model method) EP (class in GPy.inference.latent_function_inference.expectation_propagation) EPDTC (class in GPy.inference.latent_function_inference.expectation_propagation_dtc) epomeo_gpx() (in module GPy.examples.regression) erfcx() (in module GPy.util.erfcx) exact_inference_gradients() (GPy.likelihoods.bernoulli.Bernoulli method) (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.mixed_noise.MixedNoise method) ExactGaussianInference (class in GPy.inference.latent_function_inference.exact_gaussian_inference)

ExamplesTests (class in GPy.testing.examples_tests) expectation_propagation() (GPy.inference.latent_function_inference.expectation_propagation.EP method) (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method) Exponent (class in GPy.core.parameterization.transformations) Exponential (class in GPy.kern._src.stationary) (class in GPy.likelihoods.exponential) exponents() (in module GPy.inference.optimization.scg) ExpQuad (class in GPy.kern._src.stationary) extent() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController method) extract_properties_to_index() (in module GPy.core.parameterization.index_operations)

F

f() (GPy.core.mapping.Mapping method) (GPy.core.parameterization.transformations.Exponent method) (GPy.core.parameterization.transformations.Logexp method) (GPy.core.parameterization.transformations.LogexpClipped method) (GPy.core.parameterization.transformations.LogexpNeg method) (GPy.core.parameterization.transformations.Logistic method) (GPy.core.parameterization.transformations.NegativeExponent method) (GPy.core.parameterization.transformations.NegativeLogexp method) (GPy.core.parameterization.transformations.NormalEta method) (GPy.core.parameterization.transformations.NormalTheta method) (GPy.core.parameterization.transformations.Square method) (GPy.core.parameterization.transformations.Transformation method) (GPy.mappings.additive.Additive method) (GPy.mappings.kernel.Kernel method) (GPy.mappings.linear.Linear method) (GPy.mappings.mlp.MLP method) (GPy.util.warping_functions.TanhWarpingFunction method) (GPy.util.warping_functions.TanhWarpingFunction_d method) (GPy.util.warping_functions.WarpingFunction method) f_inv() (GPy.util.warping_functions.TanhWarpingFunction method) (GPy.util.warping_functions.TanhWarpingFunction_d method) (GPy.util.warping_functions.WarpingFunction method) fewerXticks() (in module GPy.plotting.matplot_dep.base_plots) (in module GPy.plotting.matplot_dep.Tango) fgrad_y() (GPy.util.warping_functions.TanhWarpingFunction method) (GPy.util.warping_functions.TanhWarpingFunction_d method) (GPy.util.warping_functions.WarpingFunction method) fgrad_y_psi() (GPy.util.warping_functions.TanhWarpingFunction method) (GPy.util.warping_functions.TanhWarpingFunction_d method) (GPy.util.warping_functions.WarpingFunction method) finalize() (GPy.util.mocap.skeleton method) finalize_axes() (GPy.plotting.matplot_dep.visualize.mocap_data_show method) finalize_axes_modify() (GPy.plotting.matplot_dep.visualize.mocap_data_show method) find_children() (GPy.util.mocap.tree method) find_parents() (GPy.util.mocap.tree method) find_root() (GPy.util.mocap.tree method) finv() (GPy.core.parameterization.transformations.Exponent method) (GPy.core.parameterization.transformations.Logexp method) (GPy.core.parameterization.transformations.LogexpClipped method) (GPy.core.parameterization.transformations.LogexpNeg method) (GPy.core.parameterization.transformations.Logistic method) (GPy.core.parameterization.transformations.NegativeExponent method) (GPy.core.parameterization.transformations.NegativeLogexp method) (GPy.core.parameterization.transformations.NormalEta method) (GPy.core.parameterization.transformations.NormalTheta method) (GPy.core.parameterization.transformations.Square method) (GPy.core.parameterization.transformations.Transformation method) FITC (class in GPy.inference.latent_function_inference.fitc) FITCtest (class in GPy.testing.fitc)

Fix (class in GPy.core.parameterization.ties_and_remappings) fix() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) Fixed (class in GPy.kern._src.static) flatten_if_needed() (in module GPy.models.gradient_checker) flatten_nested() (in module GPy.testing.examples_tests) flattened_parameters (GPy.core.parameterization.param.Param attribute) (GPy.core.parameterization.parameterized.Parameterized attribute) FletcherReeves (class in GPy.inference.optimization.gradient_descent_update_rules) flush() (GPy.core.parameterization.lists_and_dicts.ObserverList method) football_data() (in module GPy.util.datasets) force_F_ordered() (in module GPy.util.linalg) force_F_ordered_symmetric() (in module GPy.util.linalg) from_EV() (GPy.core.parameterization.priors.Gamma static method) fruitfly_tomancak() (in module GPy.util.datasets)

G

g() (GPy.core.mapping.Bijective_mapping method) (GPy.mappings.linear.Linear method) Gamma (class in GPy.core.parameterization.priors) (class in GPy.likelihoods.gamma) gamma_from_EV() (in module GPy.core.parameterization.priors) gamma_log_prob (GPy.core.parameterization.variational.SpikeAndSlabPosterior attribute) gamma_probabilities (GPy.core.parameterization.variational.SpikeAndSlabPosterior attribute) gatherPsiStat() (GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch method) Gaussian (class in GPy.core.parameterization.priors) (class in GPy.likelihoods.gaussian) gaussian_variance() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.mixed_noise.MixedNoise method) GDUpdateRule (class in GPy.inference.optimization.gradient_descent_update_rules) genData() (GPy.testing.inference_tests.InferenceXTestCase method) get_blocks() (in module GPy.util.block_matrices) get_child_xyz() (GPy.util.mocap.acclaim_skeleton method) get_class_label() (GPy.core.parameterization.priors.DGPLVM method) (GPy.core.parameterization.priors.DGPLVM_KFDA method) get_dimensions() (GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU method) (GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU method) get_grid() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController method) get_index_by_id() (GPy.util.mocap.tree method) get_index_by_name() (GPy.util.mocap.tree method) get_input_dim_active_dims() (GPy.kern._src.kern.CombinationKernel method) get_optimizer() (in module GPy.inference.optimization.optimization) get_shape() (in module GPy.models.gradient_checker) get_slices() (in module GPy.util.multioutput) get_VVTfactor() (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method) (GPy.inference.latent_function_inference.var_dtc.VarDTC method) get_X_gradients() (GPy.models.bayesian_gplvm.BayesianGPLVM method) (GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method) (GPy.models.ss_gplvm.SSGPLVM method) get_YYTfactor() (GPy.inference.latent_function_inference.exact_gaussian_inference.ExactGaussianInference method) getTieFlag() (GPy.core.parameterization.ties_and_remappings.Tie method) global_average_temperature() (in module GPy.util.datasets) google_trends() (in module GPy.util.datasets) GP (class in GPy.core.gp) GPClassification (class in GPy.models.gp_classification) GPCoregionalizedRegression (class in GPy.models.gp_coregionalized_regression) GPHeteroscedasticRegression (class in GPy.models.gp_heteroscedastic_regression) GPKroneckerGaussianRegression (class in GPy.models.gp_kronecker_gaussian_regression) GPLVM (class in GPy.models.gplvm) gplvm_oil_100() (in module GPy.examples.dimensionality_reduction) gpplot() (in module GPy.plotting.matplot_dep.base_plots) GPRegression (class in GPy.models.gp_regression) GPTransformation (class in GPy.likelihoods.link_functions) GPVariationalGaussianApproximation (class in GPy.models.gp_var_gauss) GPy (module) GPy.core (module) GPy.core.gp (module) GPy.core.mapping (module) GPy.core.model (module) GPy.core.parameterization (module) GPy.core.parameterization.domains (module) GPy.core.parameterization.index_operations (module) GPy.core.parameterization.lists_and_dicts (module) GPy.core.parameterization.observable_array (module) GPy.core.parameterization.param (module) GPy.core.parameterization.parameter_core (module) GPy.core.parameterization.parameterized (module) GPy.core.parameterization.priors (module) GPy.core.parameterization.ties_and_remappings (module) GPy.core.parameterization.transformations (module) GPy.core.parameterization.variational (module) GPy.core.sparse_gp (module) GPy.core.sparse_gp_mpi (module) GPy.examples (module) GPy.examples.classification (module) GPy.examples.coreg_example (module) GPy.examples.dimensionality_reduction (module) GPy.examples.non_gaussian (module) GPy.examples.regression (module) GPy.inference (module) GPy.inference.latent_function_inference (module) GPy.inference.latent_function_inference.dtc (module) GPy.inference.latent_function_inference.exact_gaussian_inference (module) GPy.inference.latent_function_inference.expectation_propagation (module) GPy.inference.latent_function_inference.expectation_propagation_dtc (module) GPy.inference.latent_function_inference.fitc (module) GPy.inference.latent_function_inference.inferenceX (module) GPy.inference.latent_function_inference.laplace (module) GPy.inference.latent_function_inference.posterior (module) GPy.inference.latent_function_inference.var_dtc (module) GPy.inference.latent_function_inference.var_dtc_parallel (module) GPy.inference.mcmc (module) GPy.inference.mcmc.hmc (module) GPy.inference.mcmc.samplers (module) GPy.inference.optimization (module) GPy.inference.optimization.conjugate_gradient_descent (module) GPy.inference.optimization.gradient_descent_update_rules (module) GPy.inference.optimization.optimization (module) GPy.inference.optimization.scg (module) GPy.inference.optimization.stochastics (module) GPy.kern (module) GPy.kern._src (module) GPy.kern._src.add (module) GPy.kern._src.brownian (module) GPy.kern._src.coregionalize (module) GPy.kern._src.independent_outputs (module) GPy.kern._src.kern (module) GPy.kern._src.kernel_slice_operations (module) GPy.kern._src.linear (module) GPy.kern._src.mlp (module) GPy.kern._src.ODE_st (module) GPy.kern._src.ODE_t (module) GPy.kern._src.ODE_UY (module) GPy.kern._src.ODE_UYC (module) GPy.kern._src.periodic (module) GPy.kern._src.poly (module) GPy.kern._src.prod (module) GPy.kern._src.psi_comp (module) GPy.kern._src.psi_comp.linear_psi_comp (module) GPy.kern._src.psi_comp.rbf_psi_comp (module) GPy.kern._src.psi_comp.rbf_psi_gpucomp (module) GPy.kern._src.psi_comp.sslinear_psi_comp (module) GPy.kern._src.psi_comp.ssrbf_psi_comp (module) GPy.kern._src.psi_comp.ssrbf_psi_gpucomp (module) GPy.kern._src.rbf (module) GPy.kern._src.splitKern (module) GPy.kern._src.static (module) GPy.kern._src.stationary (module)

GPy.kern._src.trunclinear (module) GPy.likelihoods (module) GPy.likelihoods.bernoulli (module) GPy.likelihoods.exponential (module) GPy.likelihoods.gamma (module) GPy.likelihoods.gaussian (module) GPy.likelihoods.likelihood (module) GPy.likelihoods.link_functions (module) GPy.likelihoods.mixed_noise (module) GPy.likelihoods.poisson (module) GPy.likelihoods.student_t (module) GPy.mappings (module) GPy.mappings.additive (module) GPy.mappings.kernel (module) GPy.mappings.linear (module) GPy.mappings.mlp (module) GPy.models (module) GPy.models.bayesian_gplvm (module) GPy.models.bayesian_gplvm_minibatch (module) GPy.models.bcgplvm (module) GPy.models.gp_classification (module) GPy.models.gp_coregionalized_regression (module) GPy.models.gp_heteroscedastic_regression (module) GPy.models.gp_kronecker_gaussian_regression (module) GPy.models.gp_regression (module) GPy.models.gp_var_gauss (module) GPy.models.gplvm (module) GPy.models.gradient_checker (module) GPy.models.mrd (module) GPy.models.sparse_gp_classification (module) GPy.models.sparse_gp_coregionalized_regression (module) GPy.models.sparse_gp_minibatch (module) GPy.models.sparse_gp_regression (module) GPy.models.sparse_gplvm (module) GPy.models.ss_gplvm (module) GPy.models.ss_mrd (module) GPy.models.warped_gp (module) GPy.plotting (module) GPy.plotting.matplot_dep (module) GPy.plotting.matplot_dep.base_plots (module) GPy.plotting.matplot_dep.dim_reduction_plots (module) GPy.plotting.matplot_dep.img_plots (module) GPy.plotting.matplot_dep.inference_plots (module) GPy.plotting.matplot_dep.kernel_plots (module) GPy.plotting.matplot_dep.latent_space_visualizations (module) GPy.plotting.matplot_dep.latent_space_visualizations.controllers (module) GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller (module) GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller (module) GPy.plotting.matplot_dep.mapping_plots (module) GPy.plotting.matplot_dep.maps (module) GPy.plotting.matplot_dep.models_plots (module) GPy.plotting.matplot_dep.netpbmfile (module) GPy.plotting.matplot_dep.priors_plots (module) GPy.plotting.matplot_dep.ssgplvm (module) GPy.plotting.matplot_dep.svig_plots (module) GPy.plotting.matplot_dep.Tango (module) GPy.plotting.matplot_dep.variational_plots (module) GPy.plotting.matplot_dep.visualize (module) GPy.testing (module) GPy.testing.examples_tests (module) GPy.testing.fitc (module) GPy.testing.index_operations_tests (module) GPy.testing.inference_tests (module) GPy.testing.kernel_tests (module) GPy.testing.likelihood_tests (module) GPy.testing.model_tests (module) GPy.testing.observable_tests (module) GPy.testing.parameterized_tests (module) GPy.testing.pickle_tests (module) GPy.testing.prior_tests (module) GPy.util (module) GPy.util.block_matrices (module) GPy.util.caching (module) GPy.util.classification (module) GPy.util.config (module) GPy.util.datasets (module) GPy.util.debug (module) GPy.util.decorators (module) GPy.util.diag (module) GPy.util.erfcx (module) GPy.util.functions (module) GPy.util.gpu_init (module) GPy.util.initialization (module) GPy.util.linalg (module) GPy.util.linalg_gpu (module) GPy.util.ln_diff_erfs (module) GPy.util.misc (module) GPy.util.mocap (module) GPy.util.multioutput (module) GPy.util.netpbmfile (module) GPy.util.normalizer (module) GPy.util.parallel (module) GPy.util.pca (module) GPy.util.squashers (module) GPy.util.subarray_and_sorting (module), [1] GPy.util.univariate_Gaussian (module) GPy.util.warping_functions (module) Gradcheckable (class in GPy.core.parameterization.parameter_core) gradfactor() (GPy.core.parameterization.transformations.Exponent method) (GPy.core.parameterization.transformations.Logexp method) (GPy.core.parameterization.transformations.LogexpClipped method) (GPy.core.parameterization.transformations.LogexpNeg method) (GPy.core.parameterization.transformations.Logistic method) (GPy.core.parameterization.transformations.NegativeExponent method) (GPy.core.parameterization.transformations.NegativeLogexp method) (GPy.core.parameterization.transformations.NormalEta method) (GPy.core.parameterization.transformations.NormalNaturalAntti method) (GPy.core.parameterization.transformations.NormalNaturalThroughEta method) (GPy.core.parameterization.transformations.NormalNaturalThroughTheta method) (GPy.core.parameterization.transformations.NormalTheta method) (GPy.core.parameterization.transformations.Square method) (GPy.core.parameterization.transformations.Transformation method) gradient (GPy.core.parameterization.param.Param attribute) (GPy.core.parameterization.parameter_core.Parameterizable attribute) gradient_full (GPy.core.parameterization.parameter_core.OptimizationHandlable attribute) GradientChecker (class in GPy.models.gradient_checker) gradients_qX_expectations() (GPy.kern._src.add.Add method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.rbf.RBF method) (GPy.kern._src.static.Static method) gradients_X() (GPy.kern._src.add.Add method) (GPy.kern._src.coregionalize.Coregionalize method) (GPy.kern._src.independent_outputs.Hierarchical method) (GPy.kern._src.independent_outputs.IndependentOutputs method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.linear.LinearFull method) (GPy.kern._src.mlp.MLP method) (GPy.kern._src.poly.Poly method) (GPy.kern._src.prod.Prod method) (GPy.kern._src.static.Static method) (GPy.kern._src.stationary.Stationary method) (GPy.kern._src.trunclinear.TruncLinear method) (GPy.kern._src.trunclinear.TruncLinear_inf method) gradients_X_() (GPy.kern._src.stationary.Stationary method) gradients_X_diag() (GPy.kern._src.add.Add method) (GPy.kern._src.coregionalize.Coregionalize method) (GPy.kern._src.independent_outputs.IndependentOutputs method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.linear.LinearFull method) (GPy.kern._src.mlp.MLP method) (GPy.kern._src.poly.Poly method) (GPy.kern._src.prod.Prod method) (GPy.kern._src.static.Static method) (GPy.kern._src.stationary.Stationary method) (GPy.kern._src.trunclinear.TruncLinear method) (GPy.kern._src.trunclinear.TruncLinear_inf method) gradients_X_weave() (GPy.kern._src.stationary.Stationary method) gradients_Z_expectations() (GPy.kern._src.add.Add method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.rbf.RBF method) (GPy.kern._src.static.Static method) GradientTests (class in GPy.testing.model_tests) Gram_matrix() (GPy.kern._src.periodic.PeriodicExponential method) (GPy.kern._src.periodic.PeriodicMatern32 method) (GPy.kern._src.periodic.PeriodicMatern52 method) (GPy.kern._src.stationary.Matern32 method) (GPy.kern._src.stationary.Matern52 method) grep_param_names() (GPy.core.parameterization.parameterized.Parameterized method)

H

HalfT (class in GPy.core.parameterization.priors) hapmap3() (in module GPy.util.datasets) has_parent() (GPy.core.parameterization.parameter_core.Parentable method) has_uncertain_inputs() (GPy.core.parameterization.variational.VariationalPosterior method) (GPy.core.sparse_gp.SparseGP method) (GPy.models.sparse_gp_minibatch.SparseGPMiniBatch method) Heaviside (class in GPy.likelihoods.link_functions) hex2rgb() (in module GPy.plotting.matplot_dep.Tango)

Hierarchical (class in GPy.kern._src.independent_outputs) hierarchy_name() (GPy.core.parameterization.parameter_core.Nameable method) HierarchyError HMC (class in GPy.inference.mcmc.hmc) HMC_shortcut (class in GPy.inference.mcmc.hmc)

I

ICM() (in module GPy.util.multioutput) id() (GPy.util.caching.Cacher method) Identity (class in GPy.likelihoods.link_functions) image_show (class in GPy.plotting.matplot_dep.visualize) ImAnnotateController (class in GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller) imread() (in module GPy.plotting.matplot_dep.netpbmfile) (in module GPy.util.netpbmfile) imsave() (in module GPy.plotting.matplot_dep.netpbmfile) (in module GPy.util.netpbmfile) ImshowController (class in GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller) IndependentOutputs (class in GPy.kern._src.independent_outputs) index() (GPy.core.parameterization.lists_and_dicts.ArrayList method) index_empty() (in module GPy.core.parameterization.index_operations) index_to_slices() (in module GPy.kern._src.independent_outputs) Indexable (class in GPy.core.parameterization.parameter_core) indices() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) infer_newX() (GPy.core.gp.GP method) (in module GPy.inference.latent_function_inference.inferenceX) inference() (GPy.inference.latent_function_inference.dtc.DTC method) (GPy.inference.latent_function_inference.dtc.vDTC method) (GPy.inference.latent_function_inference.exact_gaussian_inference.ExactGaussianInference method) (GPy.inference.latent_function_inference.expectation_propagation.EP method) (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method) (GPy.inference.latent_function_inference.fitc.FITC method) (GPy.inference.latent_function_inference.laplace.Laplace method) (GPy.inference.latent_function_inference.var_dtc.VarDTC method) inference_likelihood() (GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch method) inference_minibatch() (GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch method) InferenceMethodList (class in GPy.inference.latent_function_inference) InferenceX (class in GPy.inference.latent_function_inference.inferenceX)

InferenceXTestCase (class in GPy.testing.inference_tests) initialize() (GPy.core.parameterization.transformations.Exponent method) (GPy.core.parameterization.transformations.Logexp method) (GPy.core.parameterization.transformations.LogexpClipped method) (GPy.core.parameterization.transformations.LogexpNeg method) (GPy.core.parameterization.transformations.Logistic method) (GPy.core.parameterization.transformations.NegativeExponent method) (GPy.core.parameterization.transformations.NegativeLogexp method) (GPy.core.parameterization.transformations.NormalEta method) (GPy.core.parameterization.transformations.NormalNaturalAntti method) (GPy.core.parameterization.transformations.NormalTheta method) (GPy.core.parameterization.transformations.Square method) (GPy.core.parameterization.transformations.Transformation method) initialize_axes() (GPy.plotting.matplot_dep.visualize.mocap_data_show method) initialize_axes_modify() (GPy.plotting.matplot_dep.visualize.mocap_data_show method) initialize_latent() (in module GPy.util.initialization) input_sensitivity() (GPy.core.gp.GP method) (GPy.kern._src.add.Add method) (GPy.kern._src.kern.CombinationKernel method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.static.Static method) (GPy.kern._src.stationary.Stationary method) (GPy.kern._src.trunclinear.TruncLinear method) (GPy.kern._src.trunclinear.TruncLinear_inf method) (GPy.models.ss_gplvm.SSGPLVM method) intarray_default_factory() (in module GPy.core.parameterization.lists_and_dicts) IntArrayDict (class in GPy.core.parameterization.lists_and_dicts) inv_std_norm_cdf() (in module GPy.util.univariate_Gaussian) inverse_mean() (GPy.util.normalizer.MeanNorm method) (GPy.util.normalizer.Norm method) inverse_variance() (GPy.util.normalizer.Norm method) InverseGamma (class in GPy.core.parameterization.priors) is_fixed (GPy.core.parameterization.param.Param attribute) (GPy.core.parameterization.parameter_core.Indexable attribute) is_positive_semi_definite() (GPy.testing.kernel_tests.Kern_check_model method) isomap_faces() (in module GPy.util.datasets) items() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) iterindices() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) iteritems() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) iterproperties() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method)

J

jacobian() (GPy.models.gplvm.GPLVM method)

jitchol() (in module GPy.util.linalg)

K

K() (GPy.kern._src.add.Add method) (GPy.kern._src.ODE_UY.ODE_UY method) (GPy.kern._src.ODE_UYC.ODE_UYC method) (GPy.kern._src.ODE_st.ODE_st method) (GPy.kern._src.ODE_t.ODE_t method) (GPy.kern._src.brownian.Brownian method) (GPy.kern._src.coregionalize.Coregionalize method) (GPy.kern._src.independent_outputs.Hierarchical method) (GPy.kern._src.independent_outputs.IndependentOutputs method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.linear.LinearFull method) (GPy.kern._src.mlp.MLP method) (GPy.kern._src.periodic.Periodic method) (GPy.kern._src.poly.Poly method) (GPy.kern._src.prod.Prod method) (GPy.kern._src.splitKern.DiffGenomeKern method) (GPy.kern._src.splitKern.SplitKern method) (GPy.kern._src.splitKern.SplitKern_cross method) (GPy.kern._src.static.Bias method) (GPy.kern._src.static.Fixed method) (GPy.kern._src.static.White method) (GPy.kern._src.stationary.Stationary method) (GPy.kern._src.trunclinear.TruncLinear method) (GPy.kern._src.trunclinear.TruncLinear_inf method) K_chol (GPy.inference.latent_function_inference.posterior.Posterior attribute) K_of_r() (GPy.kern._src.rbf.RBF method) (GPy.kern._src.stationary.Cosine method) (GPy.kern._src.stationary.ExpQuad method) (GPy.kern._src.stationary.Exponential method) (GPy.kern._src.stationary.Matern32 method) (GPy.kern._src.stationary.Matern52 method) (GPy.kern._src.stationary.OU method) (GPy.kern._src.stationary.RatQuad method) (GPy.kern._src.stationary.Stationary method) Kdiag() (GPy.kern._src.add.Add method) (GPy.kern._src.ODE_UY.ODE_UY method) (GPy.kern._src.ODE_UYC.ODE_UYC method) (GPy.kern._src.ODE_st.ODE_st method) (GPy.kern._src.ODE_t.ODE_t method) (GPy.kern._src.brownian.Brownian method) (GPy.kern._src.coregionalize.Coregionalize method) (GPy.kern._src.independent_outputs.Hierarchical method) (GPy.kern._src.independent_outputs.IndependentOutputs method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.linear.LinearFull method) (GPy.kern._src.mlp.MLP method) (GPy.kern._src.periodic.Periodic method) (GPy.kern._src.poly.Poly method) (GPy.kern._src.prod.Prod method) (GPy.kern._src.splitKern.DiffGenomeKern method) (GPy.kern._src.splitKern.SplitKern method) (GPy.kern._src.splitKern.SplitKern_cross method) (GPy.kern._src.static.Fixed method) (GPy.kern._src.static.Static method) (GPy.kern._src.stationary.Stationary method) (GPy.kern._src.trunclinear.TruncLinear method) (GPy.kern._src.trunclinear.TruncLinear_inf method) Kern (class in GPy.kern._src.kern) Kern_check_dK_dtheta (class in GPy.testing.kernel_tests) Kern_check_dK_dX (class in GPy.testing.kernel_tests) Kern_check_dKdiag_dtheta (class in GPy.testing.kernel_tests) Kern_check_dKdiag_dX (class in GPy.testing.kernel_tests)

Kern_check_model (class in GPy.testing.kernel_tests) KernCallsViaSlicerMeta (class in GPy.kern._src.kernel_slice_operations) Kernel (class in GPy.mappings.kernel) KernelGradientTestsContinuous (class in GPy.testing.kernel_tests) KernelTestsMiscellaneous (class in GPy.testing.kernel_tests) KernelTestsNonContinuous (class in GPy.testing.kernel_tests) KL_divergence() (GPy.core.parameterization.variational.NormalPrior method) (GPy.core.parameterization.variational.SpikeAndSlabPrior method) (GPy.core.parameterization.variational.VariationalPrior method) kmm_init() (in module GPy.util.misc)

L

Laplace (class in GPy.inference.latent_function_inference.laplace) LaplaceTests (class in GPy.testing.likelihood_tests) latent_cost_and_grad() (in module GPy.models.bayesian_gplvm) (in module GPy.models.bayesian_gplvm_minibatch) LatentFunctionInference (class in GPy.inference.latent_function_inference) LCM() (in module GPy.util.multioutput) lee_yeast_ChIP() (in module GPy.util.datasets) Likelihood (class in GPy.likelihoods.likelihood) likelihood_quadrature() (GPy.models.gp_var_gauss.GPVariationalGaussianApproximation method) lim_changed() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController method) Linear (class in GPy.kern._src.linear) (class in GPy.mappings.linear) linear_grid() (in module GPy.util.misc) LinearFull (class in GPy.kern._src.linear) link_parameter() (GPy.core.parameterization.parameterized.Parameterized method) link_parameters() (GPy.core.parameterization.parameterized.Parameterized method) ListDictTestCase (class in GPy.testing.pickle_tests) ln_diff_erfs() (in module GPy.util.ln_diff_erfs) lnpdf() (GPy.core.parameterization.priors.DGPLVM method) (GPy.core.parameterization.priors.DGPLVM_KFDA method) (GPy.core.parameterization.priors.Gamma method) (GPy.core.parameterization.priors.Gaussian method) (GPy.core.parameterization.priors.HalfT method) (GPy.core.parameterization.priors.InverseGamma method) (GPy.core.parameterization.priors.LogGaussian method) (GPy.core.parameterization.priors.MultivariateGaussian method) (GPy.core.parameterization.priors.Uniform method) lnpdf_grad() (GPy.core.parameterization.priors.DGPLVM method) (GPy.core.parameterization.priors.DGPLVM_KFDA method) (GPy.core.parameterization.priors.Gamma method) (GPy.core.parameterization.priors.Gaussian method) (GPy.core.parameterization.priors.HalfT method) (GPy.core.parameterization.priors.InverseGamma method) (GPy.core.parameterization.priors.LogGaussian method) (GPy.core.parameterization.priors.MultivariateGaussian method) (GPy.core.parameterization.priors.Uniform method) load() (in module GPy) load_channels() (GPy.util.mocap.acclaim_skeleton method) load_skel() (GPy.util.mocap.acclaim_skeleton method)

load_text_data() (in module GPy.util.mocap) Log (class in GPy.likelihoods.link_functions) Log_ex_1 (class in GPy.likelihoods.link_functions) log_likelihood() (GPy.core.gp.GP method) (GPy.core.mapping.Mapping_check_model method) (GPy.core.model.Model method) (GPy.inference.latent_function_inference.inferenceX.InferenceX method) (GPy.models.gp_kronecker_gaussian_regression.GPKroneckerGaussianRegression method) (GPy.models.gp_var_gauss.GPVariationalGaussianApproximation method) (GPy.models.gradient_checker.GradientChecker method) (GPy.models.mrd.MRD method) (GPy.models.ss_mrd.SSMRD method) (GPy.models.warped_gp.WarpedGP method) (GPy.testing.kernel_tests.Kern_check_dKdiag_dX method) (GPy.testing.kernel_tests.Kern_check_dKdiag_dtheta method) (GPy.testing.kernel_tests.Kern_check_model method) log_max_bound (GPy.core.parameterization.transformations.LogexpClipped attribute) log_min_bound (GPy.core.parameterization.transformations.LogexpClipped attribute) log_predictive_density() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) log_prior() (GPy.core.parameterization.parameter_core.Indexable method) Logexp (class in GPy.core.parameterization.transformations) logexp (GPy.core.parameterization.transformations.NegativeLogexp attribute) LogexpClipped (class in GPy.core.parameterization.transformations) LogexpNeg (class in GPy.core.parameterization.transformations) LogGaussian (class in GPy.core.parameterization.priors) Logistic (class in GPy.core.parameterization.transformations) logistic() (in module GPy.util.functions) logisticln() (in module GPy.util.functions) logpdf() (GPy.likelihoods.likelihood.Likelihood method) logpdf_link() (GPy.likelihoods.bernoulli.Bernoulli method) (GPy.likelihoods.exponential.Exponential method) (GPy.likelihoods.gamma.Gamma method) (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.poisson.Poisson method) (GPy.likelihoods.student_t.StudentT method) lvm (class in GPy.plotting.matplot_dep.visualize) lvm_dimselect (class in GPy.plotting.matplot_dep.visualize) lvm_subplots (class in GPy.plotting.matplot_dep.visualize)

M

magnification() (GPy.models.gplvm.GPLVM method) Mapping (class in GPy.core.mapping) mapping() (GPy.core.parameterization.ties_and_remappings.Remapping method) Mapping_check_df_dtheta (class in GPy.core.mapping) Mapping_check_df_dX (class in GPy.core.mapping) Mapping_check_model (class in GPy.core.mapping) Matern32 (class in GPy.kern._src.stationary) Matern52 (class in GPy.kern._src.stationary) matplotlib_show (class in GPy.plotting.matplot_dep.visualize) mauna_loa() (in module GPy.util.datasets) max_bound (GPy.core.parameterization.transformations.LogexpClipped attribute) mdot() (in module GPy.util.linalg) mean (GPy.inference.latent_function_inference.posterior.Posterior attribute) MeanNorm (class in GPy.util.normalizer) meanplot() (in module GPy.plotting.matplot_dep.base_plots) Metropolis_Hastings (class in GPy.inference.mcmc.samplers) min_bound (GPy.core.parameterization.transformations.LogexpClipped attribute) MiscTests (class in GPy.testing.model_tests) MixedNoise (class in GPy.likelihoods.mixed_noise)

MLP (class in GPy.kern._src.mlp) (class in GPy.mappings.mlp) mocap_data_show (class in GPy.plotting.matplot_dep.visualize) mocap_data_show_vpython (class in GPy.plotting.matplot_dep.visualize) mode_computations() (GPy.inference.latent_function_inference.laplace.Laplace method) Model (class in GPy.core.model) model_checkgrads() (in module GPy.testing.examples_tests) model_instance() (in module GPy.testing.examples_tests) modify() (GPy.plotting.matplot_dep.visualize.data_show method) (GPy.plotting.matplot_dep.visualize.image_show method) (GPy.plotting.matplot_dep.visualize.lvm method) (GPy.plotting.matplot_dep.visualize.mocap_data_show method) (GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method) (GPy.plotting.matplot_dep.visualize.vector_show method) modify_edges() (GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method) modify_vertices() (GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method) moments_match_ep() (GPy.likelihoods.bernoulli.Bernoulli method) most_significant_input_dimensions() (in module GPy.plotting.matplot_dep.dim_reduction_plots) MRD (class in GPy.models.mrd) mrd_simulation() (in module GPy.examples.dimensionality_reduction) mrd_simulation_missing_data() (in module GPy.examples.dimensionality_reduction) multiple_optima() (in module GPy.examples.regression) multiple_pdinv() (in module GPy.util.linalg) multiply() (in module GPy.util.diag) MultivariateGaussian (class in GPy.core.parameterization.priors)

N

name (GPy.core.parameterization.parameter_core.Nameable attribute) Nameable (class in GPy.core.parameterization.parameter_core) NegativeExponent (class in GPy.core.parameterization.transformations) NegativeLogexp (class in GPy.core.parameterization.transformations) NetpbmFile (class in GPy.plotting.matplot_dep.netpbmfile) (class in GPy.util.netpbmfile) new_chain() (GPy.inference.mcmc.samplers.Metropolis_Hastings method) new_shape_string() (in module GPy.plotting.matplot_dep.maps) nextDark() (in module GPy.plotting.matplot_dep.Tango) nextLight() (in module GPy.plotting.matplot_dep.Tango) nextMedium() (in module GPy.plotting.matplot_dep.Tango) Norm (class in GPy.util.normalizer)

NormalEta (class in GPy.core.parameterization.transformations) normalize() (GPy.util.normalizer.MeanNorm method) (GPy.util.normalizer.Norm method) NormalNaturalAntti (class in GPy.core.parameterization.transformations) NormalNaturalThroughEta (class in GPy.core.parameterization.transformations) NormalNaturalThroughTheta (class in GPy.core.parameterization.transformations) NormalPosterior (class in GPy.core.parameterization.variational) NormalPrior (class in GPy.core.parameterization.variational) NormalTheta (class in GPy.core.parameterization.transformations) normcdf() (in module GPy.util.functions) normcdfln() (in module GPy.util.functions) num_params (GPy.core.parameterization.param.Param attribute) (GPy.core.parameterization.parameter_core.OptimizationHandlable attribute) (GPy.core.parameterization.parameter_core.Parameterizable attribute)

O

objective_function() (GPy.core.model.Model method) objective_function_gradients() (GPy.core.model.Model method) ObsAr (class in GPy.core.parameterization.observable_array) ObserverList (class in GPy.core.parameterization.lists_and_dicts) ODE_st (class in GPy.kern._src.ODE_st) ODE_t (class in GPy.kern._src.ODE_t) ODE_UY (class in GPy.kern._src.ODE_UY) ODE_UYC (class in GPy.kern._src.ODE_UYC) offdiag_view() (in module GPy.util.diag) oil() (in module GPy.examples.classification) (in module GPy.util.datasets) oil_100() (in module GPy.util.datasets) olivetti_faces() (in module GPy.examples.dimensionality_reduction) (in module GPy.util.datasets) olivetti_glasses() (in module GPy.util.datasets) olympic_100m_men() (in module GPy.examples.regression) (in module GPy.util.datasets) olympic_100m_women() (in module GPy.util.datasets) olympic_200m_men() (in module GPy.util.datasets) olympic_200m_women() (in module GPy.util.datasets) olympic_400m_men() (in module GPy.util.datasets) olympic_400m_women() (in module GPy.util.datasets) olympic_marathon_men() (in module GPy.examples.regression) (in module GPy.util.datasets) olympic_sprints() (in module GPy.util.datasets) on_cache_changed() (GPy.util.caching.Cacher method) on_click() (GPy.plotting.matplot_dep.visualize.lvm method) (GPy.plotting.matplot_dep.visualize.lvm_dimselect method)

on_enter() (GPy.plotting.matplot_dep.visualize.lvm method) on_leave() (GPy.plotting.matplot_dep.visualize.lvm method) (GPy.plotting.matplot_dep.visualize.lvm_dimselect method) on_move() (GPy.plotting.matplot_dep.visualize.lvm method) on_optimization_end() (GPy.inference.latent_function_inference.expectation_propagation.EP method) (GPy.inference.latent_function_inference.InferenceMethodList method) (GPy.inference.latent_function_inference.LatentFunctionInference method) (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method) on_optimization_start() (GPy.inference.latent_function_inference.expectation_propagation.EP method) (GPy.inference.latent_function_inference.InferenceMethodList method) (GPy.inference.latent_function_inference.LatentFunctionInference method) (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method) opt() (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize method) (GPy.inference.optimization.conjugate_gradient_descent.CGD method) (GPy.inference.optimization.optimization.Optimizer method) (GPy.inference.optimization.optimization.opt_SCG method) (GPy.inference.optimization.optimization.opt_lbfgsb method) (GPy.inference.optimization.optimization.opt_rasm method) (GPy.inference.optimization.optimization.opt_simplex method) (GPy.inference.optimization.optimization.opt_tnc method) opt_async() (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize method) (GPy.inference.optimization.conjugate_gradient_descent.CGD method) opt_lbfgsb (class in GPy.inference.optimization.optimization) opt_name (GPy.inference.optimization.conjugate_gradient_descent.CGD attribute) opt_rasm (class in GPy.inference.optimization.optimization) opt_SCG (class in GPy.inference.optimization.optimization) opt_simplex (class in GPy.inference.optimization.optimization) opt_tnc (class in GPy.inference.optimization.optimization) opt_wrapper() (in module GPy.util.misc) OptimizationHandlable (class in GPy.core.parameterization.parameter_core) optimize() (GPy.core.gp.GP method) (GPy.core.model.Model method) (GPy.core.sparse_gp_mpi.SparseGP_MPI method) optimize_restarts() (GPy.core.model.Model method) optimize_SGD() (GPy.core.model.Model method) Optimizer (class in GPy.inference.optimization.optimization) optimizer_array (GPy.core.parameterization.parameter_core.OptimizationHandlable attribute) (GPy.core.sparse_gp_mpi.SparseGP_MPI attribute) order_vertices() (GPy.util.mocap.tree method) osu_run1() (in module GPy.util.datasets) OU (class in GPy.kern._src.stationary)

P

Param (class in GPy.core.parameterization.param) param_array (GPy.core.parameterization.param.Param attribute) (GPy.core.parameterization.parameter_core.Parameterizable attribute) param_to_array() (in module GPy.util.misc) ParamConcatenation (class in GPy.core.parameterization.param) parameter_names() (GPy.core.parameterization.param.Param method) (GPy.core.parameterization.parameter_core.OptimizationHandlable method) parameter_shapes (GPy.core.parameterization.param.Param attribute) (GPy.core.parameterization.parameterized.Parameterized attribute) ParameterIndexOperations (class in GPy.core.parameterization.index_operations) ParameterIndexOperationsView (class in GPy.core.parameterization.index_operations) Parameterizable (class in GPy.core.parameterization.parameter_core) Parameterized (class in GPy.core.parameterization.parameterized) ParameterizedTest (class in GPy.testing.observable_tests) (class in GPy.testing.parameterized_tests) parameters (GPy.core.parameterization.param.Param attribute) parameters_changed() (GPy.core.gp.GP method) (GPy.core.parameterization.parameter_core.Parameterizable method) (GPy.core.parameterization.ties_and_remappings.Remapping method) (GPy.core.parameterization.ties_and_remappings.Tie method) (GPy.core.sparse_gp.SparseGP method) (GPy.core.sparse_gp_mpi.SparseGP_MPI method) (GPy.inference.latent_function_inference.inferenceX.InferenceX method) (GPy.kern._src.coregionalize.Coregionalize method) (GPy.kern._src.periodic.PeriodicExponential method) (GPy.kern._src.periodic.PeriodicMatern32 method) (GPy.kern._src.periodic.PeriodicMatern52 method) (GPy.likelihoods.student_t.StudentT method) (GPy.models.bayesian_gplvm.BayesianGPLVM method) (GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method) (GPy.models.gp_kronecker_gaussian_regression.GPKroneckerGaussianRegression method) (GPy.models.gp_var_gauss.GPVariationalGaussianApproximation method) (GPy.models.gplvm.GPLVM method) (GPy.models.mrd.MRD method) (GPy.models.sparse_gp_minibatch.SparseGPMiniBatch method) (GPy.models.sparse_gp_regression.SparseGPRegression method) (GPy.models.sparse_gplvm.SparseGPLVM method) (GPy.models.ss_gplvm.SSGPLVM method) (GPy.models.ss_mrd.SSMRD method) (GPy.testing.kernel_tests.Kern_check_dK_dX method) (GPy.testing.kernel_tests.Kern_check_dK_dtheta method) (GPy.testing.kernel_tests.Kern_check_dKdiag_dX method) (GPy.testing.kernel_tests.Kern_check_dKdiag_dtheta method) (GPy.testing.observable_tests.ParamTestParent method) (GPy.testing.observable_tests.ParameterizedTest method) ParametersChangedMeta (class in GPy.core.parameterization.parameterized) params_changed_count (GPy.testing.observable_tests.ParameterizedTest attribute) ParamTestParent (class in GPy.testing.observable_tests) parent_changed_count (GPy.testing.observable_tests.ParamTestParent attribute) Parentable (class in GPy.core.parameterization.parameter_core) parse_text() (in module GPy.util.mocap) parts (GPy.kern._src.kern.CombinationKernel attribute) PCA (class in GPy.util.pca) pca() (in module GPy.util.linalg) pddet() (in module GPy.util.linalg) pdf() (GPy.core.parameterization.priors.MultivariateGaussian method) (GPy.core.parameterization.priors.Prior method) (GPy.likelihoods.likelihood.Likelihood method) pdf_link() (GPy.likelihoods.bernoulli.Bernoulli method) (GPy.likelihoods.exponential.Exponential method) (GPy.likelihoods.gamma.Gamma method) (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.poisson.Poisson method) (GPy.likelihoods.student_t.StudentT method) pdinv() (in module GPy.util.linalg) Periodic (class in GPy.kern._src.periodic) PeriodicExponential (class in GPy.kern._src.periodic) PeriodicMatern32 (class in GPy.kern._src.periodic) PeriodicMatern52 (class in GPy.kern._src.periodic) pickle() (GPy.core.parameterization.parameter_core.Pickleable method) Pickleable (class in GPy.core.parameterization.parameter_core) plot() (GPy.core.gp.GP method) (GPy.core.mapping.Mapping method) (GPy.core.parameterization.priors.MultivariateGaussian method) (GPy.core.parameterization.priors.Prior method) (GPy.core.parameterization.transformations.Transformation method) (GPy.core.parameterization.variational.NormalPosterior method) (GPy.core.parameterization.variational.SpikeAndSlabPosterior method) (GPy.inference.optimization.optimization.Optimizer method) (GPy.kern._src.kern.Kern method) (GPy.models.gp_heteroscedastic_regression.GPHeteroscedasticRegression method) (GPy.models.gplvm.GPLVM method) (GPy.util.warping_functions.WarpingFunction method) (in module GPy.plotting.matplot_dep.kernel_plots) (in module GPy.plotting.matplot_dep.maps) (in module GPy.plotting.matplot_dep.priors_plots) (in module GPy.plotting.matplot_dep.svig_plots) (in module GPy.plotting.matplot_dep.variational_plots) plot_2d() (GPy.util.pca.PCA method) plot_2D_images() (in module GPy.plotting.matplot_dep.img_plots) plot_ARD() (GPy.kern._src.kern.Kern method) (in module GPy.plotting.matplot_dep.kernel_plots) plot_bars() (in module GPy.plotting.matplot_dep.kernel_plots) plot_bbox() (in module GPy.plotting.matplot_dep.maps) plot_f() (GPy.core.gp.GP method) plot_fit() (in module GPy.plotting.matplot_dep.models_plots) plot_fit_f() (in module GPy.plotting.matplot_dep.models_plots) plot_fracs() (GPy.util.pca.PCA method) plot_inducing() (GPy.plotting.matplot_dep.ssgplvm.SSGPLVM_plot method) plot_latent() (GPy.models.bayesian_gplvm.BayesianGPLVM method) (GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method) (GPy.models.gplvm.GPLVM method) (GPy.models.mrd.MRD method) (GPy.models.sparse_gplvm.SparseGPLVM method) (GPy.models.ss_gplvm.SSGPLVM method) (in module GPy.plotting.matplot_dep.dim_reduction_plots) plot_magnification() (GPy.models.gplvm.GPLVM method) (in module GPy.plotting.matplot_dep.dim_reduction_plots) plot_mapping() (in module GPy.plotting.matplot_dep.mapping_plots) plot_optimizer() (in module GPy.plotting.matplot_dep.inference_plots) plot_scales() (GPy.models.mrd.MRD method) plot_sgd_traces() (in module GPy.plotting.matplot_dep.inference_plots)

plot_SpikeSlab() (in module GPy.plotting.matplot_dep.variational_plots) plot_steepest_gradient_map() (GPy.models.bayesian_gplvm.BayesianGPLVM method) (GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method) (in module GPy.plotting.matplot_dep.dim_reduction_plots) plot_string_match() (in module GPy.plotting.matplot_dep.maps) plot_traces() (in module GPy.plotting.matplot_dep.svig_plots) plot_warping() (GPy.models.warped_gp.WarpedGP method) Poisson (class in GPy.likelihoods.poisson) PolakRibiere (class in GPy.inference.optimization.gradient_descent_update_rules) Poly (class in GPy.kern._src.poly) pos_axis() (GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method) Posterior (class in GPy.inference.latent_function_inference.posterior) posterior_samples() (GPy.core.gp.GP method) posterior_samples_f() (GPy.core.gp.GP method) ppca() (in module GPy.util.linalg) precision (GPy.inference.latent_function_inference.posterior.Posterior attribute) predict() (GPy.core.gp.GP method) (GPy.inference.mcmc.samplers.Metropolis_Hastings method) (GPy.models.gp_kronecker_gaussian_regression.GPKroneckerGaussianRegression method) (GPy.models.gp_var_gauss.GPVariationalGaussianApproximation method) (GPy.models.mrd.MRD method) (GPy.models.warped_gp.WarpedGP method) predict_quantiles() (GPy.core.gp.GP method) predictive_gradients() (GPy.core.gp.GP method) predictive_mean() (GPy.likelihoods.bernoulli.Bernoulli method) (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.student_t.StudentT method) predictive_quantiles() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.mixed_noise.MixedNoise method) predictive_values() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.mixed_noise.MixedNoise method) predictive_variance() (GPy.likelihoods.bernoulli.Bernoulli method) (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.mixed_noise.MixedNoise method) (GPy.likelihoods.student_t.StudentT method) prepare_cache_id() (GPy.util.caching.Cacher method) print_out() (in module GPy.inference.optimization.scg) Prior (class in GPy.core.parameterization.priors) PriorTests (class in GPy.testing.prior_tests) Private() (in module GPy.util.multioutput) Probit (class in GPy.likelihoods.link_functions) process_values() (GPy.plotting.matplot_dep.visualize.mocap_data_show method) (GPy.plotting.matplot_dep.visualize.mocap_data_show_vpython method) (GPy.plotting.matplot_dep.visualize.skeleton_show method) (GPy.plotting.matplot_dep.visualize.stick_show method) Prod (class in GPy.kern._src.prod) prod() (GPy.kern._src.kern.Kern method) project() (GPy.util.pca.PCA method) prompt_user() (in module GPy.util.datasets) propagate_val() (GPy.core.parameterization.ties_and_remappings.Tie method) properties() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) properties_for() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) properties_to_index_dict() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) psi0() (GPy.kern._src.add.Add method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.rbf.RBF method) (GPy.kern._src.static.Static method) psi1() (GPy.kern._src.add.Add method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.rbf.RBF method) (GPy.kern._src.static.Static method) psi2() (GPy.kern._src.add.Add method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.rbf.RBF method) (GPy.kern._src.static.Bias method) (GPy.kern._src.static.Fixed method) (GPy.kern._src.static.Static method) (GPy.kern._src.static.White method) PSICOMP_Linear (class in GPy.kern._src.psi_comp) PSICOMP_RBF (class in GPy.kern._src.psi_comp) PSICOMP_RBF_GPU (class in GPy.kern._src.psi_comp.rbf_psi_gpucomp) PSICOMP_SSRBF_GPU (class in GPy.kern._src.psi_comp.ssrbf_psi_gpucomp) psicomputations (GPy.kern._src.psi_comp.PSICOMP_Linear attribute) (GPy.kern._src.psi_comp.PSICOMP_RBF attribute) (GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU attribute) (GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU attribute) psicomputations() (in module GPy.kern._src.psi_comp.linear_psi_comp) (in module GPy.kern._src.psi_comp.rbf_psi_comp) (in module GPy.kern._src.psi_comp.sslinear_psi_comp) psiDerivativecomputations (GPy.kern._src.psi_comp.PSICOMP_Linear attribute) (GPy.kern._src.psi_comp.PSICOMP_RBF attribute) (GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU attribute) (GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU attribute) psiDerivativecomputations() (in module GPy.kern._src.psi_comp.linear_psi_comp) (in module GPy.kern._src.psi_comp.rbf_psi_comp) (in module GPy.kern._src.psi_comp.sslinear_psi_comp) (in module GPy.kern._src.psi_comp.ssrbf_psi_comp) pumadyn() (in module GPy.util.datasets) put_clean() (in module GPy.kern._src.kernel_slice_operations)

R

randomize() (GPy.core.parameterization.parameter_core.OptimizationHandlable method) (GPy.mappings.additive.Additive method) (GPy.mappings.kernel.Kernel method) (GPy.mappings.mlp.MLP method) rasm_mode() (GPy.inference.latent_function_inference.laplace.Laplace method) RatQuad (class in GPy.kern._src.stationary) RBF (class in GPy.kern._src.rbf) read_bonedata() (GPy.util.mocap.acclaim_skeleton method) read_channels() (GPy.util.mocap.acclaim_skeleton method) read_connections() (in module GPy.util.mocap) read_documentation() (GPy.util.mocap.acclaim_skeleton method) read_hierarchy() (GPy.util.mocap.acclaim_skeleton method) read_line() (GPy.util.mocap.acclaim_skeleton method) read_root() (GPy.util.mocap.acclaim_skeleton method) read_skel() (GPy.util.mocap.acclaim_skeleton method) read_units() (GPy.util.mocap.acclaim_skeleton method) Reciprocal (class in GPy.likelihoods.link_functions) recompute_X() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController method) Remapping (class in GPy.core.parameterization.ties_and_remappings)

remove() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) (GPy.core.parameterization.lists_and_dicts.ObserverList method) remove_indices() (in module GPy.core.parameterization.index_operations) remove_parameter() (GPy.core.parameterization.parameterized.Parameterized method) removeRightTicks() (in module GPy.plotting.matplot_dep.base_plots) (in module GPy.plotting.matplot_dep.Tango) removeUpperTicks() (in module GPy.plotting.matplot_dep.base_plots) (in module GPy.plotting.matplot_dep.Tango) reporthook() (in module GPy.util.datasets) reset() (GPy.inference.latent_function_inference.expectation_propagation.EP method) (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method) (GPy.inference.optimization.stochastics.SparseGPStochastics method) (GPy.inference.optimization.stochastics.StochasticStorage method) (GPy.util.caching.Cacher method) (in module GPy.plotting.matplot_dep.Tango) reset_derivative() (GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU method) (GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU method) resolve_indices() (GPy.util.mocap.acclaim_skeleton method) return_psi2_n (GPy.kern._src.kern.Kern attribute) ripley_synth() (in module GPy.util.datasets) robot_wireless() (in module GPy.examples.dimensionality_reduction) (in module GPy.examples.regression) (in module GPy.util.datasets) rotation_matrix() (in module GPy.util.mocap) run() (GPy.inference.optimization.optimization.Optimizer method) runsignal (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize attribute) rvs() (GPy.core.parameterization.priors.DGPLVM method) (GPy.core.parameterization.priors.DGPLVM_KFDA method) (GPy.core.parameterization.priors.Gamma method) (GPy.core.parameterization.priors.Gaussian method) (GPy.core.parameterization.priors.HalfT method) (GPy.core.parameterization.priors.InverseGamma method) (GPy.core.parameterization.priors.LogGaussian method) (GPy.core.parameterization.priors.MultivariateGaussian method) (GPy.core.parameterization.priors.Uniform method)

S

sample() (GPy.inference.mcmc.hmc.HMC method) (GPy.inference.mcmc.hmc.HMC_shortcut method) (GPy.inference.mcmc.samplers.Metropolis_Hastings method) sample_class() (in module GPy.util.datasets) samples() (GPy.likelihoods.bernoulli.Bernoulli method) (GPy.likelihoods.exponential.Exponential method) (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.mixed_noise.MixedNoise method) (GPy.likelihoods.poisson.Poisson method) (GPy.likelihoods.student_t.StudentT method) save() (GPy.core.parameterization.parameter_core.Parameterizable method) scale_by() (GPy.util.normalizer.MeanNorm method) (GPy.util.normalizer.Norm method) scaled() (GPy.util.normalizer.MeanNorm method) (GPy.util.normalizer.Norm method) SCG() (in module GPy.inference.optimization.scg) SENTINEL (GPy.inference.optimization.conjugate_gradient_descent.Async_Optimize attribute) set_gradients() (GPy.core.parameterization.variational.SpikeAndSlabPosterior method) (GPy.core.parameterization.variational.VariationalPosterior method) set_image() (GPy.plotting.matplot_dep.visualize.image_show method) set_limit() (GPy.inference.latent_function_inference.expectation_propagation_dtc.EPDTC method) (GPy.inference.latent_function_inference.var_dtc.VarDTC method) (GPy.inference.latent_function_inference.var_dtc_parallel.VarDTC_minibatch method) set_prior() (GPy.core.parameterization.parameter_core.Indexable method) set_rotation_matrices() (GPy.util.mocap.acclaim_skeleton method) set_X() (GPy.core.gp.GP method) set_X_gradients() (GPy.models.bayesian_gplvm.BayesianGPLVM method) (GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch method) (GPy.models.ss_gplvm.SSGPLVM method) set_XY() (GPy.core.gp.GP method) set_Y() (GPy.core.gp.GP method) setDarkFigures() (in module GPy.plotting.matplot_dep.Tango) setLightFigures() (in module GPy.plotting.matplot_dep.Tango) setUp() (GPy.testing.fitc.FITCtest method) (GPy.testing.index_operations_tests.Test method) (GPy.testing.kernel_tests.Coregionalize_weave_test method) (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) (GPy.testing.kernel_tests.KernelTestsMiscellaneous method) (GPy.testing.kernel_tests.KernelTestsNonContinuous method) (GPy.testing.likelihood_tests.LaplaceTests method) (GPy.testing.likelihood_tests.TestNoiseModels method) (GPy.testing.model_tests.GradientTests method) (GPy.testing.model_tests.MiscTests method) (GPy.testing.observable_tests.Test method) (GPy.testing.parameterized_tests.ArrayCoreTest method) (GPy.testing.parameterized_tests.ParameterizedTest method) shift_left() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) shift_right() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) show_sensitivities() (GPy.plotting.matplot_dep.visualize.lvm method) sigmoid() (in module GPy.util.squashers) silence_errors() (in module GPy.util.decorators) silhouette() (in module GPy.examples.regression) (in module GPy.util.datasets) simulation_BGPLVM() (in module GPy.util.datasets) single_softmax() (in module GPy.util.squashers) singlecell() (in module GPy.util.datasets) singlecell_rna_seq_deng() (in module GPy.util.datasets) singlecell_rna_seq_islam() (in module GPy.util.datasets) size (GPy.core.parameterization.index_operations.ParameterIndexOperations attribute) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView attribute) skeleton (class in GPy.util.mocap) skeleton_show (class in GPy.plotting.matplot_dep.visualize) smooth_angle_channels() (GPy.util.mocap.skeleton method) sod1_mouse() (in module GPy.util.datasets) softmax() (in module GPy.util.squashers) sparse_GP_regression_1D() (in module GPy.examples.regression) sparse_GP_regression_2D() (in module GPy.examples.regression) sparse_gplvm_oil() (in module GPy.examples.dimensionality_reduction) sparse_toy_linear_1d_classification() (in module GPy.examples.classification) SparseGP (class in GPy.core.sparse_gp) SparseGP_MPI (class in GPy.core.sparse_gp_mpi) SparseGPClassification (class in GPy.models.sparse_gp_classification)

SparseGPCoregionalizedRegression (class in GPy.models.sparse_gp_coregionalized_regression) SparseGPLVM (class in GPy.models.sparse_gplvm) SparseGPMiniBatch (class in GPy.models.sparse_gp_minibatch) SparseGPMissing (class in GPy.inference.optimization.stochastics) SparseGPRegression (class in GPy.models.sparse_gp_regression) SparseGPRegressionUncertainInput (class in GPy.models.sparse_gp_regression) SparseGPStochastics (class in GPy.inference.optimization.stochastics) spectrum() (GPy.kern._src.rbf.RBF method) spellman_yeast() (in module GPy.util.datasets) spellman_yeast_cdc15() (in module GPy.util.datasets) SpikeAndSlabPosterior (class in GPy.core.parameterization.variational) SpikeAndSlabPrior (class in GPy.core.parameterization.variational) SplitKern (class in GPy.kern._src.splitKern) SplitKern_cross (class in GPy.kern._src.splitKern) Square (class in GPy.core.parameterization.transformations) SSGPLVM (class in GPy.models.ss_gplvm) ssgplvm_oil() (in module GPy.examples.dimensionality_reduction) SSGPLVM_plot (class in GPy.plotting.matplot_dep.ssgplvm) ssgplvm_simulation() (in module GPy.examples.dimensionality_reduction) ssgplvm_simulation_linear() (in module GPy.examples.dimensionality_reduction) SSMRD (class in GPy.models.ss_mrd) Static (class in GPy.kern._src.static) Stationary (class in GPy.kern._src.stationary) std_norm_cdf() (in module GPy.util.univariate_Gaussian) std_norm_cdf_weave() (in module GPy.util.univariate_Gaussian) std_norm_pdf() (in module GPy.util.univariate_Gaussian) stick() (in module GPy.examples.dimensionality_reduction) stick_bgplvm() (in module GPy.examples.dimensionality_reduction) stick_play() (in module GPy.examples.dimensionality_reduction) stick_show (class in GPy.plotting.matplot_dep.visualize) StochasticStorage (class in GPy.inference.optimization.stochastics) string_match() (in module GPy.plotting.matplot_dep.maps) student_t_approx() (in module GPy.examples.non_gaussian) StudentT (class in GPy.likelihoods.student_t) subtract() (in module GPy.util.diag) summary() (GPy.core.parameterization.priors.Gamma method) (GPy.core.parameterization.priors.MultivariateGaussian method) swap_vertices() (GPy.util.mocap.tree method) swiss_roll() (in module GPy.examples.dimensionality_reduction) (in module GPy.util.datasets) swiss_roll_1000() (in module GPy.util.datasets) swiss_roll_generated() (in module GPy.util.datasets) symmetrify() (in module GPy.util.linalg) symmetrify_numpy() (in module GPy.util.linalg) symmetrify_weave() (in module GPy.util.linalg) sync_params() (GPy.kern._src.psi_comp.rbf_psi_gpucomp.PSICOMP_RBF_GPU method) (GPy.kern._src.psi_comp.ssrbf_psi_gpucomp.PSICOMP_SSRBF_GPU method)

T

t_d2logpdf2_df2_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method) t_d2logpdf2_dlink2_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method) t_d2logpdf_df2() (GPy.testing.likelihood_tests.TestNoiseModels method) t_d2logpdf_dlink2() (GPy.testing.likelihood_tests.TestNoiseModels method) t_d3logpdf_df3() (GPy.testing.likelihood_tests.TestNoiseModels method) t_d3logpdf_dlink3() (GPy.testing.likelihood_tests.TestNoiseModels method) t_dlogpdf_df() (GPy.testing.likelihood_tests.TestNoiseModels method) t_dlogpdf_df_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method) t_dlogpdf_dlink() (GPy.testing.likelihood_tests.TestNoiseModels method) t_dlogpdf_dlink_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method) t_dlogpdf_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method) t_dlogpdf_link_dparams() (GPy.testing.likelihood_tests.TestNoiseModels method) t_ep_fit_rbf_white() (GPy.testing.likelihood_tests.TestNoiseModels method) t_laplace_fit_rbf_white() (GPy.testing.likelihood_tests.TestNoiseModels method) t_logpdf() (GPy.testing.likelihood_tests.TestNoiseModels method) TanhWarpingFunction (class in GPy.util.warping_functions) TanhWarpingFunction_d (class in GPy.util.warping_functions) tdot() (in module GPy.util.linalg) tdot_blas() (in module GPy.util.linalg) tdot_numpy() (in module GPy.util.linalg) tearDown() (GPy.testing.likelihood_tests.LaplaceTests method) (GPy.testing.likelihood_tests.TestNoiseModels method) Test (class in GPy.testing.index_operations_tests) (class in GPy.testing.observable_tests) (class in GPy.testing.pickle_tests) test_Add() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) test_Add_dims() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) test_add_observer() (GPy.testing.pickle_tests.Test method) test_add_parameter() (GPy.testing.parameterized_tests.ParameterizedTest method) test_add_parameter_already_in_hirarchy() (GPy.testing.parameterized_tests.ParameterizedTest method) test_add_parameter_in_hierarchy() (GPy.testing.parameterized_tests.ParameterizedTest method) test_big_model() (GPy.testing.model_tests.MiscTests method) test_clear() (GPy.testing.index_operations_tests.Test method) test_constraints() (GPy.testing.parameterized_tests.ParameterizedTest method) test_constraints_in_init() (GPy.testing.parameterized_tests.ParameterizedTest method) test_constraints_link_unlink() (GPy.testing.parameterized_tests.ParameterizedTest method) test_constraints_views() (GPy.testing.parameterized_tests.ParameterizedTest method) test_default_constraints() (GPy.testing.parameterized_tests.ParameterizedTest method) test_fitc_1d() (GPy.testing.fitc.FITCtest method) test_fitc_2d() (GPy.testing.fitc.FITCtest method) test_fix_unfix() (GPy.testing.parameterized_tests.ParameterizedTest method) test_fixed_domain_check() (GPy.testing.prior_tests.PriorTests method) test_fixed_domain_check1() (GPy.testing.prior_tests.PriorTests method) test_fixes() (GPy.testing.parameterized_tests.ParameterizedTest method) test_fixing_optimize() (GPy.testing.parameterized_tests.ParameterizedTest method) test_fixing_randomize() (GPy.testing.parameterized_tests.ParameterizedTest method) test_fixing_randomize_parameter_handling() (GPy.testing.parameterized_tests.ParameterizedTest method) test_Gamma() (GPy.testing.prior_tests.PriorTests method) test_gaussian_d2logpdf_df2_2() (GPy.testing.likelihood_tests.LaplaceTests method) test_generalized_FITC() (GPy.testing.model_tests.GradientTests method) test_GP_EP_probit() (GPy.testing.model_tests.GradientTests method) test_gp_heteroscedastic_regression() (GPy.testing.model_tests.GradientTests method) test_gp_kronecker_gaussian() (GPy.testing.model_tests.GradientTests method) test_gp_VGPC() (GPy.testing.model_tests.GradientTests method) test_GPLVM_rbf_bias_white_kern_2D() (GPy.testing.model_tests.GradientTests method) test_GPLVM_rbf_linear_white_kern_2D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_bias_kern_1D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_bias_kern_2D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_exponential_1D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_exponential_2D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_exponential_ARD_2D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_linear_kern_1D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_linear_kern_1D_ARD() (GPy.testing.model_tests.GradientTests method) test_GPRegression_linear_kern_2D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_linear_kern_2D_ARD() (GPy.testing.model_tests.GradientTests method) test_GPRegression_matern32_1D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_matern32_2D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_matern32_ARD_2D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_matern52_1D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_matern52_2D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_matern52_ARD_2D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_mlp_1d() (GPy.testing.model_tests.GradientTests method) test_GPRegression_rbf_1d() (GPy.testing.model_tests.GradientTests method) test_GPRegression_rbf_2D() (GPy.testing.model_tests.GradientTests method) test_GPRegression_rbf_ARD_2D() (GPy.testing.model_tests.GradientTests method) test_Hierarchical() (GPy.testing.kernel_tests.KernelTestsNonContinuous method) test_incompatibility() (GPy.testing.prior_tests.PriorTests method) test_IndependentOutputs() (GPy.testing.kernel_tests.KernelTestsNonContinuous method) test_index_view() (GPy.testing.index_operations_tests.Test method) test_indexview_remove() (GPy.testing.index_operations_tests.Test method) test_inferenceX_BGPLVM() (GPy.testing.inference_tests.InferenceXTestCase method) test_inferenceX_GPLVM() (GPy.testing.inference_tests.InferenceXTestCase method) test_init() (GPy.testing.parameterized_tests.ArrayCoreTest method) test_laplace_log_likelihood() (GPy.testing.likelihood_tests.LaplaceTests method) test_likelihood_replicate() (GPy.testing.model_tests.MiscTests method) test_likelihood_replicate_kern() (GPy.testing.model_tests.MiscTests method)

test_likelihood_set() (GPy.testing.model_tests.MiscTests method) test_Linear() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) test_LinearFull() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) test_lognormal() (GPy.testing.prior_tests.PriorTests method) test_Matern32() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) test_Matern52() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) test_misc() (GPy.testing.index_operations_tests.Test method) test_missing_data() (GPy.testing.model_tests.MiscTests method) test_model() (GPy.testing.pickle_tests.Test method) test_model_concat() (GPy.testing.pickle_tests.Test method) test_model_optimize() (GPy.testing.model_tests.MiscTests method) test_model_set_params() (GPy.testing.model_tests.MiscTests method) test_modelrecreation() (GPy.testing.pickle_tests.Test method) test_models() (in module GPy.testing.examples_tests) test_multioutput_regression_1D() (GPy.testing.model_tests.GradientTests method) test_multioutput_sparse_regression_1D() (GPy.testing.model_tests.GradientTests method) test_nonsym() (GPy.testing.kernel_tests.Coregionalize_weave_test method) test_observable() (GPy.testing.observable_tests.Test method) test_observable_array() (GPy.testing.pickle_tests.Test method) test_ODE_UY() (GPy.testing.kernel_tests.KernelTestsNonContinuous method) test_param() (GPy.testing.pickle_tests.Test method) test_parameter_index_operations() (GPy.testing.pickle_tests.Test method) test_parameter_modify_in_init() (GPy.testing.parameterized_tests.ParameterizedTest method) test_parameterized() (GPy.testing.pickle_tests.Test method) test_posterior() (GPy.testing.pickle_tests.Test method) test_print() (GPy.testing.index_operations_tests.Test method) test_printing() (GPy.testing.parameterized_tests.ParameterizedTest method) test_priority() (GPy.testing.observable_tests.Test method) test_priority_notify() (GPy.testing.observable_tests.Test method) test_Prod() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) test_Prod2() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) test_Prod3() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) test_randomize() (GPy.testing.parameterized_tests.ParameterizedTest method) test_raw_predict() (GPy.testing.model_tests.MiscTests method) test_RBF() (GPy.testing.kernel_tests.KernelGradientTestsContinuous method) test_regular_expression_misc() (GPy.testing.parameterized_tests.ParameterizedTest method) test_remove() (GPy.testing.index_operations_tests.Test method) test_remove_parameter() (GPy.testing.parameterized_tests.ParameterizedTest method) test_remove_parameter_param_array_grad_array() (GPy.testing.parameterized_tests.ParameterizedTest method) test_scale2_models() (GPy.testing.likelihood_tests.TestNoiseModels method) test_set_gaussian_for_reals() (GPy.testing.prior_tests.PriorTests method) test_set_params() (GPy.testing.observable_tests.Test method) test_set_prior() (GPy.testing.prior_tests.PriorTests method) test_shift_left() (GPy.testing.index_operations_tests.Test method) test_shift_right() (GPy.testing.index_operations_tests.Test method) test_slice() (GPy.testing.parameterized_tests.ArrayCoreTest method) test_sparse_EP_DTC_probit() (GPy.testing.model_tests.GradientTests method) test_sparse_gp_heteroscedastic_regression() (GPy.testing.model_tests.GradientTests method) test_sparse_raw_predict() (GPy.testing.model_tests.MiscTests method) test_SparseGPRegression_rbf_linear_white_kern_1D() (GPy.testing.model_tests.GradientTests method) test_SparseGPRegression_rbf_linear_white_kern_1D_uncertain_inputs() (GPy.testing.model_tests.GradientTests method) test_SparseGPRegression_rbf_linear_white_kern_2D() (GPy.testing.model_tests.GradientTests method) test_SparseGPRegression_rbf_linear_white_kern_2D_uncertain_inputs() (GPy.testing.model_tests.GradientTests method) test_SparseGPRegression_rbf_white_kern_1d() (GPy.testing.model_tests.GradientTests method) test_SparseGPRegression_rbf_white_kern_2D() (GPy.testing.model_tests.GradientTests method) test_sym() (GPy.testing.kernel_tests.Coregionalize_weave_test method) test_updates() (GPy.testing.parameterized_tests.ParameterizedTest method) test_view_of_view() (GPy.testing.index_operations_tests.Test method) test_which_parts() (GPy.testing.kernel_tests.KernelTestsMiscellaneous method) TestNoiseModels (class in GPy.testing.likelihood_tests) tests() (in module GPy) Tie (class in GPy.core.parameterization.ties_and_remappings) tie_together() (GPy.core.parameterization.parameter_core.Indexable method) times() (in module GPy.util.diag) to_xyz() (GPy.util.mocap.acclaim_skeleton method) (GPy.util.mocap.skeleton method) toy_ARD() (in module GPy.examples.regression) toy_ARD_sparse() (in module GPy.examples.regression) toy_heaviside() (in module GPy.examples.classification) toy_linear_1d_classification() (in module GPy.examples.classification) (in module GPy.util.datasets) toy_linear_1d_classification_laplace() (in module GPy.examples.classification) toy_model() (in module GPy.testing.pickle_tests) toy_poisson_rbf_1d_laplace() (in module GPy.examples.regression) toy_rbf_1d() (in module GPy.examples.regression) (in module GPy.util.datasets) toy_rbf_1d_50() (in module GPy.examples.regression) (in module GPy.util.datasets) trace_dot() (in module GPy.util.linalg) transf() (GPy.likelihoods.link_functions.Cloglog method) (GPy.likelihoods.link_functions.GPTransformation method) (GPy.likelihoods.link_functions.Heaviside method) (GPy.likelihoods.link_functions.Identity method) (GPy.likelihoods.link_functions.Log method) (GPy.likelihoods.link_functions.Log_ex_1 method) (GPy.likelihoods.link_functions.Probit method) (GPy.likelihoods.link_functions.Reciprocal method) transform_data() (GPy.models.warped_gp.WarpedGP method) Transformation (class in GPy.core.parameterization.transformations) traverse() (GPy.core.parameterization.parameter_core.Parameterizable method) traverse_parents() (GPy.core.parameterization.parameter_core.Parameterizable method) tree (class in GPy.util.mocap) TruncLinear (class in GPy.kern._src.trunclinear) TruncLinear_inf (class in GPy.kern._src.trunclinear)

U

uncertain_inputs_sparse_regression() (in module GPy.examples.regression) unconstrain() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) unconstrain_bounded() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) unconstrain_fixed() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) unconstrain_negative() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) unconstrain_positive() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) unfix() (GPy.core.parameterization.param.ParamConcatenation method) (GPy.core.parameterization.parameter_core.Indexable method) unfixed_param_array (GPy.core.parameterization.parameter_core.Parameterizable attribute) Uniform (class in GPy.core.parameterization.priors) univariate_plot() (in module GPy.plotting.matplot_dep.priors_plots) unlink_parameter() (GPy.core.parameterization.parameterized.Parameterized method)

unset_priors() (GPy.core.parameterization.parameter_core.Indexable method) untie() (GPy.core.parameterization.param.ParamConcatenation method) update() (GPy.core.parameterization.index_operations.ParameterIndexOperations method) (GPy.core.parameterization.index_operations.ParameterIndexOperationsView method) (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController method) (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController method) update_all_params() (GPy.core.parameterization.param.ParamConcatenation method) update_gradients() (GPy.likelihoods.gaussian.Gaussian method) (GPy.likelihoods.likelihood.Likelihood method) (GPy.likelihoods.mixed_noise.MixedNoise method) (GPy.likelihoods.student_t.StudentT method) (in module GPy.inference.latent_function_inference.var_dtc_parallel) update_gradients_diag() (GPy.kern._src.add.Add method) (GPy.kern._src.coregionalize.Coregionalize method) (GPy.kern._src.independent_outputs.IndependentOutputs method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.linear.LinearFull method) (GPy.kern._src.mlp.MLP method) (GPy.kern._src.poly.Poly method) (GPy.kern._src.prod.Prod method) (GPy.kern._src.splitKern.DiffGenomeKern method) (GPy.kern._src.splitKern.SplitKern method) (GPy.kern._src.splitKern.SplitKern_cross method) (GPy.kern._src.static.Bias method) (GPy.kern._src.static.Fixed method) (GPy.kern._src.static.White method) (GPy.kern._src.stationary.RatQuad method) (GPy.kern._src.stationary.Stationary method) (GPy.kern._src.trunclinear.TruncLinear method) (GPy.kern._src.trunclinear.TruncLinear_inf method) update_gradients_expectations() (GPy.kern._src.add.Add method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.rbf.RBF method) (GPy.kern._src.static.Bias method) (GPy.kern._src.static.Fixed method) (GPy.kern._src.static.White method) update_gradients_full() (GPy.kern._src.add.Add method) (GPy.kern._src.ODE_UY.ODE_UY method) (GPy.kern._src.ODE_UYC.ODE_UYC method) (GPy.kern._src.ODE_st.ODE_st method) (GPy.kern._src.ODE_t.ODE_t method) (GPy.kern._src.brownian.Brownian method) (GPy.kern._src.coregionalize.Coregionalize method) (GPy.kern._src.independent_outputs.Hierarchical method) (GPy.kern._src.independent_outputs.IndependentOutputs method) (GPy.kern._src.kern.Kern method) (GPy.kern._src.linear.Linear method) (GPy.kern._src.linear.LinearFull method) (GPy.kern._src.mlp.MLP method) (GPy.kern._src.periodic.PeriodicExponential method) (GPy.kern._src.periodic.PeriodicMatern32 method) (GPy.kern._src.periodic.PeriodicMatern52 method) (GPy.kern._src.poly.Poly method) (GPy.kern._src.prod.Prod method) (GPy.kern._src.splitKern.DiffGenomeKern method) (GPy.kern._src.splitKern.SplitKern method) (GPy.kern._src.splitKern.SplitKern_cross method) (GPy.kern._src.static.Bias method) (GPy.kern._src.static.Fixed method) (GPy.kern._src.static.White method) (GPy.kern._src.stationary.RatQuad method) (GPy.kern._src.stationary.Stationary method) (GPy.kern._src.trunclinear.TruncLinear method) (GPy.kern._src.trunclinear.TruncLinear_inf method) update_gradients_KL() (GPy.core.parameterization.variational.NormalPrior method) (GPy.core.parameterization.variational.SpikeAndSlabPrior method) (GPy.core.parameterization.variational.VariationalPrior method) update_gradients_sparsegp() (in module GPy.inference.latent_function_inference.var_dtc_parallel) update_view() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.BufferedAxisChangedController method) (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller.ImAnnotateController method) (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.imshow_controller.ImshowController method)

V

values (GPy.core.parameterization.observable_array.ObsAr attribute) (GPy.core.parameterization.param.Param attribute) values() (GPy.core.parameterization.param.ParamConcatenation method) VarDTC (class in GPy.inference.latent_function_inference.var_dtc) VarDTC_minibatch (class in GPy.inference.latent_function_inference.var_dtc_parallel) variational_expectations() (GPy.likelihoods.likelihood.Likelihood method) VariationalPosterior (class in GPy.core.parameterization.variational)

VariationalPrior (class in GPy.core.parameterization.variational) vDTC (class in GPy.inference.latent_function_inference.dtc) vector_show (class in GPy.plotting.matplot_dep.visualize) vertex (class in GPy.util.mocap) view() (in module GPy.util.diag) vpython_show (class in GPy.plotting.matplot_dep.visualize)

W

warning_on_one_line() (in module GPy.inference.latent_function_inference.laplace) WarpedGP (class in GPy.models.warped_gp) warping_function_gradients() (GPy.models.warped_gp.WarpedGP method) WarpingFunction (class in GPy.util.warping_functions) weave_lengthscale_grads() (GPy.kern._src.stationary.Stationary method) White (class in GPy.kern._src.static)

woodbury_chol (GPy.inference.latent_function_inference.posterior.Posterior attribute) woodbury_inv (GPy.inference.latent_function_inference.posterior.Posterior attribute) woodbury_vector (GPy.inference.latent_function_inference.posterior.Posterior attribute) wrap_around() (GPy.plotting.matplot_dep.visualize.skeleton_show method) write() (GPy.plotting.matplot_dep.netpbmfile.NetpbmFile method) (GPy.util.netpbmfile.NetpbmFile method)

X

x_frame1D() (in module GPy.plotting.matplot_dep.base_plots) x_frame2D() (in module GPy.plotting.matplot_dep.base_plots) x_reduced() (GPy.core.parameterization.priors.DGPLVM_KFDA method)

xlim_changed() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController method) (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController method) xw_pen() (in module GPy.util.datasets)

Y

ylim_changed() (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisChangedController method) (GPy.plotting.matplot_dep.latent_space_visualizations.controllers.axis_event_controller.AxisEventController method)