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[matplotlib] plot updates and testing
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21 changed files with 217 additions and 204 deletions
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@ -42,17 +42,21 @@ if config.get('plotting', 'library') is not 'none':
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SparseGP.plot_inducing = gpy_plot.data_plots.plot_inducing
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from ..models import GPLVM, BayesianGPLVM, bayesian_gplvm_minibatch, SSGPLVM, SSMRD
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GPLVM.plot_prediction_fit = gpy_plot.latent_plots.plot_prediction_fit
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GPLVM.plot_latent = gpy_plot.latent_plots.plot_latent
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GPLVM.plot_latent_scatter = gpy_plot.latent_plots.plot_latent_scatter
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GPLVM.plot_latent_inducing = gpy_plot.latent_plots.plot_latent_inducing
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GPLVM.plot_steepest_gradient_map = gpy_plot.latent_plots.plot_steepest_gradient_map
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BayesianGPLVM.plot_latent = gpy_plot.latent_plots.plot_latent
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BayesianGPLVM.plot_prediction_fit = gpy_plot.latent_plots.plot_prediction_fit
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BayesianGPLVM.plot_latent_scatter = gpy_plot.latent_plots.plot_latent_scatter
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BayesianGPLVM.plot_latent_inducing = gpy_plot.latent_plots.plot_latent_inducing
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BayesianGPLVM.plot_steepest_gradient_map = gpy_plot.latent_plots.plot_steepest_gradient_map
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bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.plot_latent = gpy_plot.latent_plots.plot_latent
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bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.plot_prediction_fit = gpy_plot.latent_plots.plot_prediction_fit
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bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.plot_latent_scatter = gpy_plot.latent_plots.plot_latent_scatter
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bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.plot_latent_inducing = gpy_plot.latent_plots.plot_latent_inducing
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bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch.plot_steepest_gradient_map = gpy_plot.latent_plots.plot_steepest_gradient_map
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SSGPLVM.plot_latent = gpy_plot.latent_plots.plot_latent
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SSGPLVM.plot_prediction_fit = gpy_plot.latent_plots.plot_prediction_fit
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SSGPLVM.plot_latent_scatter = gpy_plot.latent_plots.plot_latent_scatter
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SSGPLVM.plot_latent_inducing = gpy_plot.latent_plots.plot_latent_inducing
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SSGPLVM.plot_steepest_gradient_map = gpy_plot.latent_plots.plot_steepest_gradient_map
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from ..kern import Kern
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