syne_tune.optimizer.schedulers.searchers.bayesopt package

Subpackages

• syne_tune.optimizer.schedulers.searchers.bayesopt.datatypes package
  • Submodules
    • syne_tune.optimizer.schedulers.searchers.bayesopt.datatypes.common module
      • dictionarize_objective()
      • TrialEvaluations
      • PendingEvaluation
      • FantasizedPendingEvaluation
    • syne_tune.optimizer.schedulers.searchers.bayesopt.datatypes.config_ext module
      • ExtendedConfiguration
    • syne_tune.optimizer.schedulers.searchers.bayesopt.datatypes.tuning_job_state module
      • TuningJobState
• syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd package
  • SliceException
  • Subpackages
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.hypertune package
      • Submodules
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.independent package
      • Submodules
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.kernel package
      • KernelFunction
      • Matern52
      • ExponentialDecayResourcesKernelFunction
      • ExponentialDecayResourcesMeanFunction
      • FabolasKernelFunction
      • ProductKernelFunction
      • FreezeThawKernelFunction
      • FreezeThawMeanFunction
      • CrossValidationMeanFunction
      • CrossValidationKernelFunction
      • RangeKernelFunction
      • Submodules
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.learncurve package
      • Submodules
  • Submodules
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.constants module
      • OptimizationConfig
      • MCMCConfig
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.custom_op module
      • AddJitterOp()
      • flatten_and_concat()
      • cholesky_factorization()
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.distribution module
      • Distribution
      • Gamma
      • Uniform
      • Normal
      • LogNormal
      • Horseshoe
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.gluon module
      • Block
      • Parameter
      • ParameterDict
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.gluon_blocks_helpers module
      • ConstantPositiveVector
      • PositiveScalarEncoding
      • IdentityScalarEncoding
      • LogarithmScalarEncoding
      • unwrap_parameter()
      • encode_unwrap_parameter()
      • param_to_pretty_string()
      • register_parameter()
      • create_encoding()
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.gp_model module
      • GaussianProcessModel
      • GaussianProcessOptimizeModel
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.gp_regression module
      • GaussianProcessRegression
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.gpr_mcmc module
      • GPRegressionMCMC
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.likelihood module
      • MarginalLikelihood
      • GaussianProcessMarginalLikelihood
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.mean module
      • MeanFunction
      • ScalarMeanFunction
      • ZeroMeanFunction
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.optimization_utils module
      • apply_lbfgs()
      • apply_lbfgs_with_multiple_starts()
      • add_regularizer_to_criterion()
      • create_lbfgs_arguments()
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.posterior_state module
      • PosteriorState
      • PosteriorStateWithSampleJoint
      • GaussProcPosteriorState
      • backward_gradient_given_predict()
      • IncrementalUpdateGPPosteriorState
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.posterior_utils module
      • cholesky_computations()
      • predict_posterior_marginals()
      • sample_posterior_marginals()
      • sample_posterior_joint()
      • cholesky_update()
      • sample_and_cholesky_update()
      • negative_log_marginal_likelihood()
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.slice module
      • SliceSampler
      • gen_random_direction()
      • slice_sampler_step_out()
      • slice_sampler_step_in()
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.target_transform module
      • ScalarTargetTransform
      • IdentityTargetTransform
      • BoxCoxTargetTransform
    • syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.warping module
      • Warping
      • warpings_for_hyperparameters()
      • kernel_with_warping()
      • WarpedKernel
• syne_tune.optimizer.schedulers.searchers.bayesopt.models package
  • Subpackages
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.cost package
      • Submodules
  • Submodules
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.acqfunc_factory module
      • acquisition_function_factory()
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.cost_fifo_model module
      • CostFixedResourcePredictor
      • CostEstimator
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.estimator module
      • Estimator
      • TransformedData
      • transform_state_to_data()
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.gp_mcmc_model module
      • GaussProcMCMCEstimator
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.gp_model module
      • GaussProcPredictor
      • GaussProcEstimator
      • GaussProcEmpiricalBayesEstimator
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.gpiss_model module
      • GaussProcAdditivePredictor
      • GaussProcAdditiveEstimator
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.kernel_factory module
      • base_kernel_factory()
      • resource_kernel_factory()
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.meanstd_acqfunc module
      • HeadWithGradient
      • CurrentBestProvider
      • NoneCurrentBestProvider
      • ActiveMetricCurrentBestProvider
      • MeanStdAcquisitionFunction
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.meanstd_acqfunc_impl module
      • EIAcquisitionFunction
      • LCBAcquisitionFunction
      • EIpuAcquisitionFunction
      • ConstraintCurrentBestProvider
      • CEIAcquisitionFunction
      • get_quantiles()
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.model_base module
      • BasePredictor
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.model_skipopt module
      • SkipOptimizationPredicate
      • NeverSkipPredicate
      • AlwaysSkipPredicate
      • SkipPeriodicallyPredicate
      • SkipNoMaxResourcePredicate
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.model_transformer module
      • StateForModelConverter
      • ModelStateTransformer
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.sklearn_model module
      • SKLearnPredictorWrapper
      • SKLearnEstimatorWrapper
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.subsample_state_multi_fidelity module
      • cap_size_tuning_job_state()
      • SubsampleMultiFidelityStateConverter
      • sparsify_tuning_job_state()
      • SubsampleMFDenseDataStateConverter
    • syne_tune.optimizer.schedulers.searchers.bayesopt.models.subsample_state_single_fidelity module
      • cap_size_tuning_job_state()
      • SubsampleSingleFidelityStateConverter
• syne_tune.optimizer.schedulers.searchers.bayesopt.sklearn package
  • SKLearnPredictor
    • SKLearnPredictor.predict()
    • SKLearnPredictor.backward_gradient()
  • SKLearnEstimator
    • SKLearnEstimator.fit()
    • SKLearnEstimator.get_params()
    • SKLearnEstimator.set_params()
    • SKLearnEstimator.normalize_targets
  • Submodules
    • syne_tune.optimizer.schedulers.searchers.bayesopt.sklearn.estimator module
      • SKLearnEstimator
    • syne_tune.optimizer.schedulers.searchers.bayesopt.sklearn.predictor module
      • SKLearnPredictor
• syne_tune.optimizer.schedulers.searchers.bayesopt.tuning_algorithms package
  • Submodules
    • syne_tune.optimizer.schedulers.searchers.bayesopt.tuning_algorithms.base_classes module
      • assign_active_metric()
      • NextCandidatesAlgorithm
      • Predictor
      • ScoringFunction
      • AcquisitionFunction
      • LocalOptimizer
      • CandidateGenerator
    • syne_tune.optimizer.schedulers.searchers.bayesopt.tuning_algorithms.bo_algorithm module
      • BayesianOptimizationAlgorithm
    • syne_tune.optimizer.schedulers.searchers.bayesopt.tuning_algorithms.bo_algorithm_components module
      • IndependentThompsonSampling
      • LBFGSOptimizeAcquisition
      • NoOptimization
      • RandomStatefulCandidateGenerator
      • generate_unique_candidates()
      • RandomFromSetCandidateGenerator
      • DuplicateDetector
      • DuplicateDetectorNoDetection
      • DuplicateDetectorIdentical
    • syne_tune.optimizer.schedulers.searchers.bayesopt.tuning_algorithms.defaults module
• syne_tune.optimizer.schedulers.searchers.bayesopt.utils package
  • Submodules
    • syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy module
      • ThreeHumpCamel
      • branin_function()
      • Branin
      • BraninWithR
      • Ackley
      • SimpleQuadratic
      • evaluate_blackbox()
      • sample_data()
      • expand_data()
      • data_to_state()
      • decode_inputs()
      • assert_equal_candidates()
      • assert_equal_randomstate()
    • syne_tune.optimizer.schedulers.searchers.bayesopt.utils.debug_log module
      • DebugLogPrinter
    • syne_tune.optimizer.schedulers.searchers.bayesopt.utils.test_objects module
      • build_kernel()
      • default_gpmodel()
      • default_gpmodel_mcmc()
      • RepeatedCandidateGenerator
      • Quadratic3d
      • tuples_to_configs()
      • create_exclusion_set()
      • create_tuning_job_state()