syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.learncurve package

Submodules

• syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.learncurve.freeze_thaw module
  • ZeroKernel
    • ZeroKernel.forward()
    • ZeroKernel.diagonal()
    • ZeroKernel.diagonal_depends_on_X()
    • ZeroKernel.param_encoding_pairs()
    • ZeroKernel.get_params()
    • ZeroKernel.set_params()
  • ZeroMean
    • ZeroMean.forward()
    • ZeroMean.param_encoding_pairs()
    • ZeroMean.get_params()
    • ZeroMean.set_params()
  • ExponentialDecayBaseKernelFunction
    • ExponentialDecayBaseKernelFunction.forward()
    • ExponentialDecayBaseKernelFunction.diagonal()
    • ExponentialDecayBaseKernelFunction.diagonal_depends_on_X()
    • ExponentialDecayBaseKernelFunction.param_encoding_pairs()
    • ExponentialDecayBaseKernelFunction.get_params()
    • ExponentialDecayBaseKernelFunction.set_params()
    • ExponentialDecayBaseKernelFunction.mean_function()
  • logdet_cholfact_cov_resource()
  • resource_kernel_likelihood_precomputations()
  • resource_kernel_likelihood_computations()
  • resource_kernel_likelihood_slow_computations()
  • predict_posterior_marginals_extended()
  • sample_posterior_joint()
• syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.learncurve.gpiss_model module
  • GaussianProcessLearningCurveModel
    • GaussianProcessLearningCurveModel.likelihood
• syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.learncurve.issm module
  • prepare_data()
  • prepare_data_with_pending()
  • issm_likelihood_precomputations()
  • issm_likelihood_computations()
  • posterior_computations()
  • predict_posterior_marginals()
  • sample_posterior_marginals()
  • predict_posterior_marginals_extended()
  • sample_posterior_joint()
  • issm_likelihood_slow_computations()
  • update_posterior_state()
  • update_posterior_pvec()
• syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.learncurve.likelihood module
  • GaussAdditiveMarginalLikelihood
    • GaussAdditiveMarginalLikelihood.get_posterior_state()
    • GaussAdditiveMarginalLikelihood.forward()
    • GaussAdditiveMarginalLikelihood.param_encoding_pairs()
    • GaussAdditiveMarginalLikelihood.get_noise_variance()
    • GaussAdditiveMarginalLikelihood.get_params()
    • GaussAdditiveMarginalLikelihood.set_params()
    • GaussAdditiveMarginalLikelihood.data_precomputations()
    • GaussAdditiveMarginalLikelihood.on_fit_start()
• syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.learncurve.model_params module
  • ISSModelParameters
    • ISSModelParameters.param_encoding_pairs()
    • ISSModelParameters.get_gamma()
    • ISSModelParameters.get_params()
    • ISSModelParameters.set_gamma()
    • ISSModelParameters.set_params()
    • ISSModelParameters.get_issm_params()
  • IndependentISSModelParameters
    • IndependentISSModelParameters.param_encoding_pairs()
    • IndependentISSModelParameters.get_alpha()
    • IndependentISSModelParameters.get_beta()
    • IndependentISSModelParameters.get_params()
    • IndependentISSModelParameters.set_alpha()
    • IndependentISSModelParameters.set_beta()
    • IndependentISSModelParameters.set_params()
    • IndependentISSModelParameters.get_issm_params()
• syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.learncurve.posterior_state module
  • GaussProcAdditivePosteriorState
    • GaussProcAdditivePosteriorState.num_data
    • GaussProcAdditivePosteriorState.num_features
    • GaussProcAdditivePosteriorState.num_fantasies
    • GaussProcAdditivePosteriorState.neg_log_likelihood()
    • GaussProcAdditivePosteriorState.predict()
    • GaussProcAdditivePosteriorState.sample_marginals()
    • GaussProcAdditivePosteriorState.backward_gradient()
    • GaussProcAdditivePosteriorState.sample_curves()
    • GaussProcAdditivePosteriorState.has_precomputations()
  • IncrementalUpdateGPAdditivePosteriorState
    • IncrementalUpdateGPAdditivePosteriorState.update()
    • IncrementalUpdateGPAdditivePosteriorState.update_pvec()
    • IncrementalUpdateGPAdditivePosteriorState.sample_and_update_for_pending()
  • GaussProcISSMPosteriorState
    • GaussProcISSMPosteriorState.has_precomputations()
    • GaussProcISSMPosteriorState.predict()
    • GaussProcISSMPosteriorState.data_precomputations()
    • GaussProcISSMPosteriorState.update()
  • GaussProcExpDecayPosteriorState
    • GaussProcExpDecayPosteriorState.has_precomputations()
    • GaussProcExpDecayPosteriorState.predict()
    • GaussProcExpDecayPosteriorState.data_precomputations()
    • GaussProcExpDecayPosteriorState.update()