Index

_

__init__() (in module pytabkit.models.sklearn.sklearn_interfaces.CatBoost_TD_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.FTT_D_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.LGBM_TD_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.MLP_PLR_D_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.MLP_RTDL_D_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.RealMLP_HPO_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.RealMLP_TD_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.Resnet_RTDL_D_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.TabM_D_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.TabR_S_D_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.XGB_TD_Classifier) (in module pytabkit.models.sklearn.sklearn_interfaces.XRFM_D_Classifier) (pytabkit.bench.alg_wrappers.general.AlgWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.AlgInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.AlgorithmSelectionWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.AutoGluonModelInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.CaruanaEnsembleWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.LoadResultsWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.MultiSplitAlgInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.NNHyperoptInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.NNInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsExtraTreesInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsFTTransformerInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsKNNInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsLinearModelInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsNNInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsResnetInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsRFInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsRTDLMLPInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.SubSplitInterfaceWrapper method) (pytabkit.bench.data.import_tasks.PandasTask method) (pytabkit.bench.data.paths.Paths method) (pytabkit.bench.data.paths.TmpPathContextManager method) (pytabkit.bench.data.tasks.Task method) (pytabkit.bench.data.tasks.TaskCollection method) (pytabkit.bench.data.tasks.TaskDescription method) (pytabkit.bench.data.tasks.TaskInfo method) (pytabkit.bench.data.tasks.TaskPackage method) (pytabkit.bench.eval.analysis.ResultsTables method) (pytabkit.bench.eval.evaluation.AlgTaskTable method) (pytabkit.bench.eval.evaluation.ArrayTableAnalyzer method) (pytabkit.bench.eval.evaluation.FunctionAlgFilter method) (pytabkit.bench.eval.evaluation.MeanTableAnalyzer method) (pytabkit.bench.eval.evaluation.MultiResultsTable method) (pytabkit.bench.eval.evaluation.TableAnalyzer method) (pytabkit.bench.eval.evaluation.TaskWeighting method) (pytabkit.bench.run.results.ResultManager method) (pytabkit.bench.run.task_execution.RunConfig method) (pytabkit.bench.run.task_execution.TabBenchJob method) (pytabkit.bench.run.task_execution.TabBenchJobManager method) (pytabkit.bench.scheduling.execution.RayJobManager method) (pytabkit.bench.scheduling.jobs.JobResult method) (pytabkit.bench.scheduling.jobs.JobRunner method) (pytabkit.bench.scheduling.resource_manager.JobInfo method) (pytabkit.bench.scheduling.resource_manager.ResourceManager method) (pytabkit.bench.scheduling.resources.NodeResources method) (pytabkit.bench.scheduling.resources.SystemResources method) (pytabkit.bench.scheduling.schedulers.BaseJobScheduler method) (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.MultiSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.OptAlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.RandomParamsAlgInterface method) (pytabkit.models.alg_interfaces.base.InterfaceResources method) (pytabkit.models.alg_interfaces.base.RequiredResources method) (pytabkit.models.alg_interfaces.base.SplitIdxs method) (pytabkit.models.alg_interfaces.base.SubSplitIdxs method) (pytabkit.models.alg_interfaces.calibration.PostHocCalibrationAlgInterface method) (pytabkit.models.alg_interfaces.catboost_interfaces.CatBoostCustomMetric method) (pytabkit.models.alg_interfaces.catboost_interfaces.CatBoostHyperoptAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.AlgorithmSelectionAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.CaruanaEnsembleAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.PrecomputedPredictionsAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.WeightedPrediction method) (pytabkit.models.alg_interfaces.lightgbm_interfaces.LGBMCustomMetric method) (pytabkit.models.alg_interfaces.lightgbm_interfaces.LGBMHyperoptAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.NNAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.NNHyperoptAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.RandomParamsNNAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.RealMLPParamSampler method) (pytabkit.models.alg_interfaces.other_interfaces.GrandeWrapper method) (pytabkit.models.alg_interfaces.resource_computation.LogLinearModule method) (pytabkit.models.alg_interfaces.resource_computation.LogLinearRegressor method) (pytabkit.models.alg_interfaces.resource_computation.NormalizedDataRegressor method) (pytabkit.models.alg_interfaces.resource_computation.ResourcePredictor method) (pytabkit.models.alg_interfaces.resource_computation.TimeWrapper method) (pytabkit.models.alg_interfaces.resource_computation.UniformSampler method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RandomParamsResnetAlgInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RandomParamsRTDLMLPAlgInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RTDL_MLP_ParamSamplerNew method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RTDL_ResNet_ParamSampler method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RTDL_ResNet_ParamSamplerNew method) (pytabkit.models.alg_interfaces.sub_split_interfaces.SingleSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.SklearnSubSplitInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.TreeBasedSubSplitInterface method) (pytabkit.models.alg_interfaces.tabm_interface.TabMSubSplitInterface method) (pytabkit.models.alg_interfaces.tabr_interface.TabRSubSplitInterface method) (pytabkit.models.alg_interfaces.xgboost_interfaces.XGBCustomMetric method) (pytabkit.models.alg_interfaces.xgboost_interfaces.XGBHyperoptAlgInterface method) (pytabkit.models.alg_interfaces.xrfm_interfaces.xRFMSubSplitInterface method) (pytabkit.models.data.conversion.ToDictDatasetConverter method) (pytabkit.models.data.data.DictDataset method) (pytabkit.models.data.data.ParallelDictDataLoader method) (pytabkit.models.data.data.TensorInfo method) (pytabkit.models.data.data.ValDictDataLoader method) (pytabkit.models.data.nested_dict.NestedDict method) (pytabkit.models.data.splits.IndexSplitter method) (pytabkit.models.data.splits.KFoldSplitter method) (pytabkit.models.data.splits.RandomSplitter method) (pytabkit.models.data.splits.Split method) (pytabkit.models.data.splits.SplitInfo method) (pytabkit.models.hyper_opt.coord_opt.CoordOptimizer method) (pytabkit.models.hyper_opt.coord_opt.CoordOptimizer.CoordOptFuncWrapper method) (pytabkit.models.hyper_opt.coord_opt.CoordOptimizerImpl method) (pytabkit.models.hyper_opt.coord_opt.Hyperparameter method) (pytabkit.models.hyper_opt.hyper_optimizers.ConstantHyperOptimizer method) (pytabkit.models.hyper_opt.hyper_optimizers.FunctionEvaluationTracker method) (pytabkit.models.hyper_opt.hyper_optimizers.HyperOptimizer method) (pytabkit.models.hyper_opt.hyper_optimizers.HyperoptOptimizer method) (pytabkit.models.hyper_opt.hyper_optimizers.HyperoptOptimizer.HyperoptFuncWrapper method) (pytabkit.models.hyper_opt.hyper_optimizers.SMACOptimizer method) (pytabkit.models.hyper_opt.hyper_optimizers.SMACOptimizer.SMACFuncWrapper method) (pytabkit.models.nn_models.activations.ActivationFactory method) (pytabkit.models.nn_models.activations.ParametricActivationFitter method) (pytabkit.models.nn_models.activations.ParametricActivationLayer method) (pytabkit.models.nn_models.base.BiasLayer method) (pytabkit.models.nn_models.base.ConcatParallelFactory method) (pytabkit.models.nn_models.base.ConcatParallelFitter method) (pytabkit.models.nn_models.base.ConcatParallelLayer method) (pytabkit.models.nn_models.base.ContextAware method) (pytabkit.models.nn_models.base.ContextRecorder method) (pytabkit.models.nn_models.base.FilterTensorsFactory method) (pytabkit.models.nn_models.base.FilterTensorsLayer method) (pytabkit.models.nn_models.base.Fitter method) (pytabkit.models.nn_models.base.FitterFactory method) (pytabkit.models.nn_models.base.FunctionFactory method) (pytabkit.models.nn_models.base.FunctionFitter method) (pytabkit.models.nn_models.base.FunctionLayer method) (pytabkit.models.nn_models.base.IdentityFitter method) (pytabkit.models.nn_models.base.Layer method) (pytabkit.models.nn_models.base.RenameTensorFactory method) (pytabkit.models.nn_models.base.RenameTensorLayer method) (pytabkit.models.nn_models.base.ResidualFitter method) (pytabkit.models.nn_models.base.ResidualLayer method) (pytabkit.models.nn_models.base.ScaleLayer method) (pytabkit.models.nn_models.base.Scope method) (pytabkit.models.nn_models.base.SequentialFactory method) (pytabkit.models.nn_models.base.SequentialFitter method) (pytabkit.models.nn_models.base.SequentialLayer method) (pytabkit.models.nn_models.base.StringConvertible method) (pytabkit.models.nn_models.base.TrainContext method) (pytabkit.models.nn_models.base.Variable method) (pytabkit.models.nn_models.base.WeightLayer method) (pytabkit.models.nn_models.categorical.ConstantFunction method) (pytabkit.models.nn_models.categorical.EncodingFactory method) (pytabkit.models.nn_models.categorical.EncodingFitter method) (pytabkit.models.nn_models.categorical.EncodingLayer method) (pytabkit.models.nn_models.categorical.SingleEmbeddingFactory method) (pytabkit.models.nn_models.categorical.SingleEmbeddingFitter method) (pytabkit.models.nn_models.categorical.SingleEmbeddingLayer method) (pytabkit.models.nn_models.categorical.SingleEncodingFactory method) (pytabkit.models.nn_models.categorical.SingleOneHotFactory method) (pytabkit.models.nn_models.categorical.SingleOneHotFitter method) (pytabkit.models.nn_models.categorical.SingleOneHotLayer method) (pytabkit.models.nn_models.categorical.SingleOrdinalEncodingFactory method) (pytabkit.models.nn_models.categorical.SingleOrdinalEncodingFitter method) (pytabkit.models.nn_models.categorical.SingleOrdinalEncodingLayer method) (pytabkit.models.nn_models.categorical.SingleTargetEncodingFactory method) (pytabkit.models.nn_models.categorical.SingleTargetEncodingFitter method) (pytabkit.models.nn_models.models.BlockFactory method) (pytabkit.models.nn_models.models.NNFactory method) (pytabkit.models.nn_models.models.PreprocessingFactory method) (pytabkit.models.nn_models.nn.AntisymmetricInitializationFactory method) (pytabkit.models.nn_models.nn.AntisymmetricInitializationFitter method) (pytabkit.models.nn_models.nn.BiasFitter method) (pytabkit.models.nn_models.nn.ClampLayer method) (pytabkit.models.nn_models.nn.ClampOutputFactory method) (pytabkit.models.nn_models.nn.DropoutFitter method) (pytabkit.models.nn_models.nn.DropoutLayer method) (pytabkit.models.nn_models.nn.FeatureImportanceFactory method) (pytabkit.models.nn_models.nn.FixedScaleFactory method) (pytabkit.models.nn_models.nn.FixedWeightFactory method) (pytabkit.models.nn_models.nn.LabelSmoothingFactory method) (pytabkit.models.nn_models.nn.LabelSmoothingFitter method) (pytabkit.models.nn_models.nn.LabelSmoothingLayer method) (pytabkit.models.nn_models.nn.NoiseFitter method) (pytabkit.models.nn_models.nn.NoiseLayer method) (pytabkit.models.nn_models.nn.NormalizeOutputFactory method) (pytabkit.models.nn_models.nn.NormalizeOutputLayer method) (pytabkit.models.nn_models.nn.NormWeightLayer method) (pytabkit.models.nn_models.nn.PeriodicEmbeddingsFactory method) (pytabkit.models.nn_models.nn.PeriodicEmbeddingsLayerSinCos method) (pytabkit.models.nn_models.nn.PLREmbeddingsFactory method) (pytabkit.models.nn_models.nn.PLREmbeddingsLayer method) (pytabkit.models.nn_models.nn.PLREmbeddingsLayerCosBias method) (pytabkit.models.nn_models.nn.RFFeatureImportanceFactory method) (pytabkit.models.nn_models.nn.ScaleFactory method) (pytabkit.models.nn_models.nn.ScaleFitter method) (pytabkit.models.nn_models.nn.StochasticGateFactory method) (pytabkit.models.nn_models.nn.StochasticGateLayer method) (pytabkit.models.nn_models.nn.StochasticLabelNoiseFitter method) (pytabkit.models.nn_models.nn.StochasticLabelNoiseLayer method) (pytabkit.models.nn_models.nn.SubtractionLayer method) (pytabkit.models.nn_models.nn.ToSoftLabelFitter method) (pytabkit.models.nn_models.nn.ToSoftLabelLayer method) (pytabkit.models.nn_models.nn.WeightFitter method) (pytabkit.models.nn_models.pipeline.CircleCodingFactory method) (pytabkit.models.nn_models.pipeline.CircleCodingLayer method) (pytabkit.models.nn_models.pipeline.GlobalScaleNormalizeFactory method) (pytabkit.models.nn_models.pipeline.L1NormalizeFactory method) (pytabkit.models.nn_models.pipeline.L2NormalizeFactory method) (pytabkit.models.nn_models.pipeline.MeanCenterFactory method) (pytabkit.models.nn_models.pipeline.MeanReplaceMissingContFactory method) (pytabkit.models.nn_models.pipeline.MedianCenterFactory method) (pytabkit.models.nn_models.pipeline.MinMaxScaleFactory method) (pytabkit.models.nn_models.pipeline.ReplaceMissingContLayer method) (pytabkit.models.nn_models.pipeline.RobustScaleFactory method) (pytabkit.models.nn_models.pipeline.RobustScaleV2Factory method) (pytabkit.models.nn_models.pipeline.SklearnTransformFactory method) (pytabkit.models.nn_models.pipeline.SklearnTransformLayer method) (pytabkit.models.nn_models.pipeline.ThermometerCodingFactory method) (pytabkit.models.nn_models.pipeline.ThermometerCodingLayer method) (pytabkit.models.nn_models.rtdl_num_embeddings.LinearEmbeddings method) (pytabkit.models.nn_models.rtdl_num_embeddings.LinearReLUEmbeddings method) (pytabkit.models.nn_models.rtdl_num_embeddings.PeriodicEmbeddings method) (pytabkit.models.nn_models.rtdl_num_embeddings.PiecewiseLinearEmbeddings method) (pytabkit.models.nn_models.rtdl_num_embeddings.PiecewiseLinearEncoding method) (pytabkit.models.nn_models.rtdl_resnet.FT_Transformer method) (pytabkit.models.nn_models.rtdl_resnet.InputShapeSetterResnet method) (pytabkit.models.nn_models.rtdl_resnet.MultiheadAttention method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierWrapped method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorWrapped method) (pytabkit.models.nn_models.rtdl_resnet.ResNet method) (pytabkit.models.nn_models.rtdl_resnet.RTDL_MLP method) (pytabkit.models.nn_models.rtdl_resnet.Tokenizer method) (pytabkit.models.nn_models.tabm.LinearEfficientEnsemble method) (pytabkit.models.nn_models.tabm.MLP method) (pytabkit.models.nn_models.tabm.Model method) (pytabkit.models.nn_models.tabm.NLinear method) (pytabkit.models.nn_models.tabm.OneHotEncoding0d method) (pytabkit.models.nn_models.tabm.ScaleEnsemble method) (pytabkit.models.nn_models.tabr.NTPLinearLayer method) (pytabkit.models.nn_models.tabr.ParametricMishActivationLayer method) (pytabkit.models.nn_models.tabr.ParametricReluActivationLayer method) (pytabkit.models.nn_models.tabr.ScalingLayer method) (pytabkit.models.nn_models.tabr.TabrLightning method) (pytabkit.models.nn_models.tabr.TabrModel method) (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) (pytabkit.models.nn_models.tabr_context_freeze.TabrModelContextFreeze method) (pytabkit.models.nn_models.tabr_lib.CatEmbeddings method) (pytabkit.models.nn_models.tabr_lib.CLSEmbedding method) (pytabkit.models.nn_models.tabr_lib.Lambda method) (pytabkit.models.nn_models.tabr_lib.LinearEmbeddings method) (pytabkit.models.nn_models.tabr_lib.LREmbeddings method) (pytabkit.models.nn_models.tabr_lib.MLP method) (pytabkit.models.nn_models.tabr_lib.MLP.Block method) (pytabkit.models.nn_models.tabr_lib.NLinear method) (pytabkit.models.nn_models.tabr_lib.OneHotEncoder method) (pytabkit.models.nn_models.tabr_lib.PBLDEmbeddings method) (pytabkit.models.nn_models.tabr_lib.PeriodicEmbeddings method) (pytabkit.models.nn_models.tabr_lib.PLREmbeddings method) (pytabkit.models.optim.adopt.ADOPT method) (pytabkit.models.optim.optimizers.AdamaxOptimizer method) (pytabkit.models.optim.optimizers.AdamOptimizer method) (pytabkit.models.optim.optimizers.AdoptOptimizer method) (pytabkit.models.optim.optimizers.AMSGradOptimizer method) (pytabkit.models.optim.optimizers.MoMoAdamOptimizer method) (pytabkit.models.optim.optimizers.OptimizerBase method) (pytabkit.models.optim.optimizers.SchedulingAdamOptimizer method) (pytabkit.models.optim.optimizers.SFAdamOptimizer method) (pytabkit.models.optim.optimizers.SGDOptimizer method) (pytabkit.models.optim.scheduling_adam.SchedulingAdam method) (pytabkit.models.sklearn.sklearn_interfaces.Ensemble_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.Ensemble_TD_Regressor method) (pytabkit.models.torch_utils.TorchTimer method) (pytabkit.models.training.coord.HyperparamManager method) (pytabkit.models.training.coord.HyperparamManager.HyperGetter method) (pytabkit.models.training.lightning_callbacks.HyperparamCallback method) (pytabkit.models.training.lightning_callbacks.L1L2RegCallback method) (pytabkit.models.training.lightning_callbacks.ModelCheckpointCallback method) (pytabkit.models.training.lightning_callbacks.ParamCheckpointer method) (pytabkit.models.training.lightning_callbacks.StopAtEpochsCallback method) (pytabkit.models.training.lightning_modules.TabNNModule method) (pytabkit.models.training.logging.Logger method) (pytabkit.models.training.logging.StdoutLogger method) (pytabkit.models.training.metrics.Metrics method) (pytabkit.models.training.nn_creator.NNCreator method) (pytabkit.models.training.scheduling.AltCoslogFunc method) (pytabkit.models.training.scheduling.ConstantSchedule method) (pytabkit.models.training.scheduling.CoslogFunc method) (pytabkit.models.training.scheduling.EpochLengthSqMomSchedule method) (pytabkit.models.training.scheduling.ExponentialSchedule method) (pytabkit.models.training.scheduling.FirstToLastSchedule method) (pytabkit.models.training.scheduling.FunctionSchedule method) (pytabkit.models.training.scheduling.GenCoslogFunc method) (pytabkit.models.training.scheduling.LearnerProgress method) (pytabkit.models.training.scheduling.ProductSchedule_ method) (pytabkit.models.training.scheduling.ProductTimeSchedule_ method) (pytabkit.models.training.scheduling.ScaledSchedule method) (pytabkit.models.training.scheduling.ScheduleSequence method) (pytabkit.models.training.scheduling.StepFunctionSchedule method) (pytabkit.models.training.scheduling.SumSchedule_ method) (pytabkit.models.training.scheduling.SumTimeSchedule_ method) (pytabkit.models.training.scheduling.TimeSchedule method) (pytabkit.models.utils.FunctionProcess method) (pytabkit.models.utils.FunctionRunner method) (pytabkit.models.utils.ObjectLoadingContext method) (pytabkit.models.utils.ProcessPoolMapper method) (pytabkit.models.utils.TabrQuantileTransformer method) (pytabkit.models.utils.TimePrinter method) (pytabkit.models.utils.Timer method)

__new__() (pytabkit.models.nn_models.base.Variable static method) (pytabkit.models.nn_models.tabr_context_freeze.TabrModelContextFreeze.ForwardOutput static method)

A

AbstractJob (class in pytabkit.bench.scheduling.jobs) ActivationFactory (class in pytabkit.models.nn_models.activations) AdamaxOptimizer (class in pytabkit.models.optim.optimizers) AdamOptimizer (class in pytabkit.models.optim.optimizers) adapt_config() (in module pytabkit.models.utils) add_jobs() (pytabkit.bench.run.task_execution.TabBenchJobManager method) (pytabkit.bench.scheduling.schedulers.BaseJobScheduler method) add_others_scope() (pytabkit.models.nn_models.base.ContextAware method) add_reg_term() (pytabkit.models.training.coord.HyperparamManager method) add_results() (pytabkit.bench.run.results.ResultManager method) add_scope() (pytabkit.models.nn_models.base.ContextAware method) adjust_step_size() (pytabkit.models.hyper_opt.coord_opt.Hyperparameter method) ADOPT (class in pytabkit.models.optim.adopt) adopt() (in module pytabkit.models.optim.adopt) AdoptOptimizer (class in pytabkit.models.optim.optimizers) alg_comparison_str() (in module pytabkit.bench.eval.evaluation) alg_results_str() (in module pytabkit.bench.eval.evaluation) AlgFilter (class in pytabkit.bench.eval.evaluation) AlgInterface (class in pytabkit.models.alg_interfaces.alg_interfaces) AlgInterfaceClassifier (class in pytabkit.models.sklearn.sklearn_base) AlgInterfaceEstimator (class in pytabkit.models.sklearn.sklearn_base) AlgInterfaceRegressor (class in pytabkit.models.sklearn.sklearn_base) AlgInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) AlgorithmSelectionAlgInterface (class in pytabkit.models.alg_interfaces.ensemble_interfaces) AlgorithmSelectionWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) algs() (pytabkit.bench.data.paths.Paths method) AlgTaskTable (class in pytabkit.bench.eval.evaluation)

AlgWrapper (class in pytabkit.bench.alg_wrappers.general) all_equal() (in module pytabkit.models.utils) AllNothingSplitter (class in pytabkit.models.data.splits) allow_single_underscore() (in module pytabkit.models.alg_interfaces.rtdl_interfaces) already_evaluated() (pytabkit.models.hyper_opt.coord_opt.CoordOptimizerImpl method) AltCoslogFunc (class in pytabkit.models.training.scheduling) AMSGradOptimizer (class in pytabkit.models.optim.optimizers) AntisymmetricInitializationFactory (class in pytabkit.models.nn_models.nn) AntisymmetricInitializationFitter (class in pytabkit.models.nn_models.nn) apply() (pytabkit.models.training.metrics.Metrics static method) apply_model() (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) apply_on() (pytabkit.models.nn_models.categorical.SingleEncodingFactory method) (pytabkit.models.nn_models.categorical.SingleOneHotFactory method) apply_reduction() (in module pytabkit.models.training.metrics) apply_sklearn_classification_metric() (pytabkit.models.training.metrics.Metrics static method) apply_tfms() (pytabkit.models.hyper_opt.coord_opt.Hyperparameter method) apply_tfms_rec() (in module pytabkit.models.nn_models.pipeline) argsort() (in module pytabkit.models.utils) ArrayTableAnalyzer (class in pytabkit.bench.eval.evaluation) auc_mu_impl() (in module pytabkit.models.training.auc_mu) auc_ovr_torchmetrics() (in module pytabkit.models.training.metrics) auto_replace_categories_in_mixed_data() (in module pytabkit.bench.data.uci_file_ops) auto_replace_missing_in_mixed_data() (in module pytabkit.bench.data.uci_file_ops) AutoGluonModelAlgInterface (class in pytabkit.models.alg_interfaces.autogluon_model_interfaces) AutoGluonModelInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) AUTOML_CLASS_SMALL (pytabkit.bench.data.common.TaskSource attribute) avg_preds() (pytabkit.models.training.metrics.Metrics static method)

B

backward() (pytabkit.models.nn_models.activations.MishJitAutoFn static method) (pytabkit.models.torch_utils.ClampWithIdentityGradientFunc static method) base() (pytabkit.bench.data.paths.Paths method) BaseJobScheduler (class in pytabkit.bench.scheduling.schedulers) batch_randperm() (in module pytabkit.models.torch_utils) bce_with_logits_and_label_smoothing() (in module pytabkit.models.nn_models.tabr) bias (pytabkit.models.nn_models.tabm.LinearEfficientEnsemble attribute)

BiasFitter (class in pytabkit.models.nn_models.nn) BiasLayer (class in pytabkit.models.nn_models.base) bilin_int() (in module pytabkit.bench.eval.colors) binary_classification_data_folder (pytabkit.bench.data.uci_file_ops.UCIVars attribute) bisection_find() (in module pytabkit.bench.eval.colors) BlockFactory (class in pytabkit.models.nn_models.models) brier_loss() (in module pytabkit.models.training.metrics)

C

call_time_() (pytabkit.models.training.scheduling.ConstantSchedule method) (pytabkit.models.training.scheduling.ExponentialSchedule method) (pytabkit.models.training.scheduling.FirstToLastSchedule method) (pytabkit.models.training.scheduling.FunctionSchedule method) (pytabkit.models.training.scheduling.ProductTimeSchedule_ method) (pytabkit.models.training.scheduling.ScaledSchedule method) (pytabkit.models.training.scheduling.ScheduleSequence method) (pytabkit.models.training.scheduling.SumTimeSchedule_ method) (pytabkit.models.training.scheduling.TimeSchedule method) cardinalities (pytabkit.models.nn_models.tabr_lib.OneHotEncoder attribute) CaruanaEnsembleAlgInterface (class in pytabkit.models.alg_interfaces.ensemble_interfaces) CaruanaEnsembleWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) cat() (in module pytabkit.models.nn_models.tabr_lib) cat_if_necessary() (in module pytabkit.models.torch_utils) CatBoost_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) CatBoost_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) CatBoost_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) CatBoost_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) CatBoost_HPO_TPE_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) CatBoost_HPO_TPE_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) CatBoost_TD_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) CatBoost_TD_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) CatBoostCustomMetric (class in pytabkit.models.alg_interfaces.catboost_interfaces) CatBoostHyperoptAlgInterface (class in pytabkit.models.alg_interfaces.catboost_interfaces) CatBoostHyperoptInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) CatBoostInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) CatBoostSklearnInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) CatBoostSklearnSubSplitInterface (class in pytabkit.models.alg_interfaces.catboost_interfaces) CatBoostSubSplitInterface (class in pytabkit.models.alg_interfaces.catboost_interfaces) category_offsets (pytabkit.models.nn_models.rtdl_resnet.Tokenizer attribute) CatEmbeddings (class in pytabkit.models.nn_models.tabr_lib) cb_class_ram (pytabkit.models.alg_interfaces.resource_params.ResourceParams attribute) (pytabkit.models.alg_interfaces.resource_params.ResourceParamsOld attribute) cb_class_time (pytabkit.models.alg_interfaces.resource_params.ResourceParams attribute) (pytabkit.models.alg_interfaces.resource_params.ResourceParamsOld attribute) CB_D (pytabkit.models.sklearn.default_params.DefaultParams attribute) CB_TD_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) CB_TD_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute) check_array_wrapper() (in module pytabkit.models.sklearn.sklearn_base) check_X_y_wrapper() (in module pytabkit.models.sklearn.sklearn_base) check_zero_hot() (in module pytabkit.bench.data.import_tasks) choose_batch_size_rtdl() (in module pytabkit.models.alg_interfaces.rtdl_interfaces) choose_batch_size_rtdl_new() (in module pytabkit.models.alg_interfaces.rtdl_interfaces) CircleCodingFactory (class in pytabkit.models.nn_models.pipeline) CircleCodingLayer (class in pytabkit.models.nn_models.pipeline) clamp_with_identity_gradient_func() (in module pytabkit.models.torch_utils) ClampLayer (class in pytabkit.models.nn_models.nn) ClampOutputFactory (class in pytabkit.models.nn_models.nn) ClampWithIdentityGradientFunc (class in pytabkit.models.torch_utils) CLASSIFICATION (pytabkit.models.data.data.TaskType attribute) clone() (pytabkit.models.nn_models.base.TrainContext method) CLSEmbedding (class in pytabkit.models.nn_models.tabr_lib) coll_name_to_title() (in module pytabkit.bench.eval.plotting) combine_scheds() (in module pytabkit.models.training.scheduling) combine_seeds() (in module pytabkit.models.utils) combine_sequential() (pytabkit.models.alg_interfaces.base.RequiredResources static method) compile_model() (pytabkit.models.training.lightning_modules.TabNNModule method) compute_bins() (in module pytabkit.models.nn_models.rtdl_num_embeddings) compute_metrics_dict() (pytabkit.models.training.metrics.Metrics method) compute_val_score() (pytabkit.models.training.metrics.Metrics method) concat() (pytabkit.models.alg_interfaces.resource_computation.FeatureSpec static method) (pytabkit.models.data.data.TensorInfo static method) concat_arrays() (in module pytabkit.models.sklearn.sklearn_base) concat_files() (in module pytabkit.bench.data.uci_file_ops) ConcatParallelFactory (class in pytabkit.models.nn_models.base) ConcatParallelFitter (class in pytabkit.models.nn_models.base) ConcatParallelLayer (class in pytabkit.models.nn_models.base) configure_optimizers() (pytabkit.models.nn_models.tabr.TabrLightning method) (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) (pytabkit.models.training.lightning_modules.TabNNModule method) connect_cos_scheds() (in module pytabkit.models.training.scheduling) connect_lin_scheds() (in module pytabkit.models.training.scheduling) ConstantFunction (class in pytabkit.models.nn_models.categorical) ConstantHyperOptimizer (class in pytabkit.models.hyper_opt.hyper_optimizers) ConstantSchedule (class in pytabkit.models.training.scheduling) context_idx (pytabkit.models.nn_models.tabr_context_freeze.TabrModelContextFreeze.ForwardOutput attribute)

context_probs (pytabkit.models.nn_models.tabr_context_freeze.TabrModelContextFreeze.ForwardOutput attribute) ContextAware (class in pytabkit.models.nn_models.base) ContextRecorder (class in pytabkit.models.nn_models.base) convert_hp_values() (pytabkit.models.hyper_opt.coord_opt.CoordOptimizerImpl method) convert_numpy_dtypes() (in module pytabkit.models.utils) convert_replace_string_to_vector() (in module pytabkit.bench.data.uci_file_ops) convert_time_to_seconds() (in module pytabkit.bench.data.uci_file_ops) convert_to_class_numbers() (in module pytabkit.bench.data.import_tasks) coord_opt_idx() (pytabkit.models.hyper_opt.coord_opt.CoordOptimizerImpl method) CoordOptimizer (class in pytabkit.models.hyper_opt.coord_opt) CoordOptimizer.CoordOptFuncWrapper (class in pytabkit.models.hyper_opt.coord_opt) CoordOptimizerImpl (class in pytabkit.models.hyper_opt.coord_opt) copyFile() (in module pytabkit.models.utils) cos_func() (in module pytabkit.models.training.scheduling) cos_loss() (in module pytabkit.models.training.metrics) cos_warm_func() (in module pytabkit.models.training.scheduling) CoslogFunc (class in pytabkit.models.training.scheduling) count_bin_columns() (in module pytabkit.bench.data.uci_file_ops) create() (pytabkit.models.nn_models.base.FitterFactory method) create_alg_interface() (pytabkit.bench.alg_wrappers.interface_wrappers.AlgInterfaceWrapper method) (pytabkit.models.alg_interfaces.alg_interfaces.OptAlgInterface method) (pytabkit.models.alg_interfaces.catboost_interfaces.CatBoostHyperoptAlgInterface method) (pytabkit.models.alg_interfaces.lightgbm_interfaces.LGBMHyperoptAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.NNHyperoptAlgInterface method) (pytabkit.models.alg_interfaces.xgboost_interfaces.XGBHyperoptAlgInterface method) create_callbacks() (pytabkit.models.training.lightning_modules.TabNNModule method) (pytabkit.models.training.nn_creator.NNCreator method) create_classifier_skorch() (in module pytabkit.models.nn_models.rtdl_resnet) create_dataloaders() (pytabkit.models.training.nn_creator.NNCreator method) create_dir() (in module pytabkit.models.utils) create_ds() (in module pytabkit.models.alg_interfaces.resource_computation) create_ft_transformer_classifier_skorch() (in module pytabkit.models.nn_models.rtdl_resnet) create_ft_transformer_regressor_skorch() (in module pytabkit.models.nn_models.rtdl_resnet) create_mlp_classifier_skorch() (in module pytabkit.models.nn_models.rtdl_resnet) create_mlp_regressor_skorch() (in module pytabkit.models.nn_models.rtdl_resnet) create_model() (pytabkit.models.alg_interfaces.tabr_interface.TabRSubSplitInterface method) (pytabkit.models.training.nn_creator.NNCreator method) create_regressor_skorch() (in module pytabkit.models.nn_models.rtdl_resnet) create_resnet_classifier_skorch() (in module pytabkit.models.nn_models.rtdl_resnet) create_resnet_regressor_skorch() (in module pytabkit.models.nn_models.rtdl_resnet) create_single_alg_interface() (pytabkit.bench.alg_wrappers.interface_wrappers.CatBoostHyperoptInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.LGBMHyperoptInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.MultiSplitAlgInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsCatBoostInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsLGBMInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsTabRInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsXGBInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RandomParamsxRFMInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.SubSplitInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.XGBHyperoptInterfaceWrapper method) create_sub_split_interface() (pytabkit.bench.alg_wrappers.interface_wrappers.CatBoostInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.CatBoostSklearnInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.ExtraTreesInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.FTTransformerInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.GBTInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.GrandeInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.KANInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.KNNInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.LGBMInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.LGBMSklearnInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.LinearModelInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.MLPRTDLInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.ResNetRTDLInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.RFInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.SklearnMLPInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.SubSplitInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.TabICLInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.TabMInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.TabPFN2InterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.TabRInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.XGBInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.XGBSklearnInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.xRFMInterfaceWrapper method) create_transform() (pytabkit.models.nn_models.base.FitterFactory method) cross_entropy() (in module pytabkit.models.training.metrics) CUSTOM (pytabkit.bench.data.common.TaskSource attribute) CustomJobScheduler (class in pytabkit.bench.scheduling.schedulers)

D

d_out (pytabkit.models.nn_models.tabr_lib.MLP property) data_folder (pytabkit.bench.data.uci_file_ops.UCIVars attribute) data_group_id (pytabkit.bench.data.uci_file_ops.UCIVars attribute) deduplicate() (pytabkit.bench.data.import_tasks.PandasTask method) DEFAULT (pytabkit.bench.data.common.SplitType attribute) default_eval_metric_name() (pytabkit.models.training.metrics.Metrics static method) default_val_metric_name() (pytabkit.models.training.metrics.Metrics static method) default_zero_weight_decay_condition() (in module pytabkit.models.nn_models.tabm) (in module pytabkit.models.nn_models.tabr_lib) DefaultEvalModeSelector (class in pytabkit.bench.eval.evaluation)

DefaultParams (class in pytabkit.models.sklearn.default_params) defaults() (pytabkit.models.training.metrics.Metrics static method) delete_file() (in module pytabkit.models.utils) deserialize() (in module pytabkit.models.utils) DictDataset (class in pytabkit.models.data.data) download_all_uci() (in module pytabkit.bench.data.get_uci) download_and_save() (in module pytabkit.bench.data.uci_file_ops) download_if_not_exists() (in module pytabkit.bench.data.import_tasks) DropoutFitter (class in pytabkit.models.nn_models.nn) DropoutLayer (class in pytabkit.models.nn_models.nn) ds_to_xy() (in module pytabkit.models.alg_interfaces.resource_computation)

E

EarlyStoppingCustomError (class in pytabkit.models.nn_models.rtdl_resnet) EncodingFactory (class in pytabkit.models.nn_models.categorical) EncodingFitter (class in pytabkit.models.nn_models.categorical) EncodingLayer (class in pytabkit.models.nn_models.categorical) Ensemble_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) Ensemble_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) Ensemble_TD_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) Ensemble_TD_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) ensureDir() (in module pytabkit.models.utils) EpochLengthSqMomSchedule (class in pytabkit.models.training.scheduling) eval() (pytabkit.bench.data.paths.Paths method) (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) (pytabkit.models.hyper_opt.coord_opt.CoordOptimizerImpl method) (pytabkit.models.optim.optimizers.OptimizerBase method)

eval_linear_product_model() (in module pytabkit.models.alg_interfaces.resource_computation) EvalModeSelector (class in pytabkit.bench.eval.evaluation) evaluate() (pytabkit.models.alg_interfaces.catboost_interfaces.CatBoostCustomMetric method) (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) ExceptionPrintingCallback (class in pytabkit.models.alg_interfaces.tabr_interface) exists_task() (pytabkit.bench.data.tasks.TaskDescription method) existsDir() (in module pytabkit.models.utils) existsFile() (in module pytabkit.models.utils) expected_calibration_error() (in module pytabkit.models.training.metrics) ExponentialSchedule (class in pytabkit.models.training.scheduling) extend_runtimes() (in module pytabkit.bench.eval.plotting) extract_categories() (in module pytabkit.bench.data.import_tasks) extract_params() (in module pytabkit.models.utils) ExtraTreesInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) ExtraTreesSubSplitInterface (class in pytabkit.models.alg_interfaces.other_interfaces)

F

f() (pytabkit.models.nn_models.tabr.ParametricMishActivationLayer method) (pytabkit.models.nn_models.tabr.ParametricReluActivationLayer method) f_unpack_dict() (in module pytabkit.models.hyper_opt.hyper_optimizers) FAILED (pytabkit.bench.scheduling.resource_manager.JobStatus attribute) fastai_emb_size_fn() (in module pytabkit.models.nn_models.categorical) FeatureImportanceFactory (class in pytabkit.models.nn_models.nn) FeatureSpec (class in pytabkit.models.alg_interfaces.resource_computation) filter_algs() (pytabkit.bench.eval.evaluation.AlgTaskTable method) filter_n_splits() (pytabkit.bench.eval.evaluation.AlgTaskTable method) FilterTensorsFactory (class in pytabkit.models.nn_models.base) FilterTensorsLayer (class in pytabkit.models.nn_models.base) FirstToLastSchedule (class in pytabkit.models.training.scheduling) fit() (in module pytabkit.models.sklearn.sklearn_base.AlgInterfaceEstimator) (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.MultiSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.RandomParamsAlgInterface method) (pytabkit.models.alg_interfaces.calibration.PostHocCalibrationAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.AlgorithmSelectionAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.CaruanaEnsembleAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.PrecomputedPredictionsAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.NNAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.RandomParamsNNAlgInterface method) (pytabkit.models.alg_interfaces.other_interfaces.GrandeWrapper method) (pytabkit.models.alg_interfaces.resource_computation.LogLinearRegressor method) (pytabkit.models.alg_interfaces.resource_computation.NormalizedDataRegressor method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RandomParamsResnetAlgInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RandomParamsRTDLMLPAlgInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.SingleSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.SklearnSubSplitInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.TreeBasedSubSplitInterface method) (pytabkit.models.alg_interfaces.tabm_interface.TabMSubSplitInterface method) (pytabkit.models.alg_interfaces.tabr_interface.TabRSubSplitInterface method) (pytabkit.models.alg_interfaces.xrfm_interfaces.xRFMSubSplitInterface method) (pytabkit.models.nn_models.base.Fitter method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierWrapped method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorWrapped method) (pytabkit.models.sklearn.sklearn_base.AlgInterfaceEstimator method) (pytabkit.models.utils.TabrQuantileTransformer method) fit_and_eval() (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.MultiSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.OptAlgInterface method) fit_resource_factors() (in module pytabkit.models.alg_interfaces.resource_computation) fit_transform() (pytabkit.models.data.conversion.ToDictDatasetConverter method) (pytabkit.models.nn_models.base.Fitter method) fit_transform_subsample() (pytabkit.models.nn_models.base.Fitter method) Fitter (class in pytabkit.models.nn_models.base) FitterFactory (class in pytabkit.models.nn_models.base) FixedScaleFactory (class in pytabkit.models.nn_models.nn) FixedWeightFactory (class in pytabkit.models.nn_models.nn) force_log() (pytabkit.models.training.logging.Logger method) (pytabkit.models.training.logging.StdoutLogger method) format_date_s() (in module pytabkit.bench.scheduling.schedulers) format_length_s() (in module pytabkit.bench.scheduling.schedulers) forward() (pytabkit.models.alg_interfaces.resource_computation.LogLinearModule method) (pytabkit.models.nn_models.activations.MishJitAutoFn static method) (pytabkit.models.nn_models.base.Layer method) (pytabkit.models.nn_models.rtdl_num_embeddings.LinearEmbeddings method) (pytabkit.models.nn_models.rtdl_num_embeddings.PeriodicEmbeddings method) (pytabkit.models.nn_models.rtdl_num_embeddings.PiecewiseLinearEmbeddings method) (pytabkit.models.nn_models.rtdl_num_embeddings.PiecewiseLinearEncoding method) (pytabkit.models.nn_models.rtdl_resnet.FT_Transformer method) (pytabkit.models.nn_models.rtdl_resnet.MultiheadAttention method) (pytabkit.models.nn_models.rtdl_resnet.ResNet method) (pytabkit.models.nn_models.rtdl_resnet.RTDL_MLP method) (pytabkit.models.nn_models.rtdl_resnet.Tokenizer method) (pytabkit.models.nn_models.tabm.LinearEfficientEnsemble method) (pytabkit.models.nn_models.tabm.MLP method) (pytabkit.models.nn_models.tabm.Model method) (pytabkit.models.nn_models.tabm.NLinear method) (pytabkit.models.nn_models.tabm.OneHotEncoding0d method) (pytabkit.models.nn_models.tabm.ScaleEnsemble method) (pytabkit.models.nn_models.tabr.NTPLinearLayer method) (pytabkit.models.nn_models.tabr.ParametricMishActivationLayer method) (pytabkit.models.nn_models.tabr.ParametricReluActivationLayer method) (pytabkit.models.nn_models.tabr.ScalingLayer method) (pytabkit.models.nn_models.tabr.TabrModel method) (pytabkit.models.nn_models.tabr_context_freeze.TabrModelContextFreeze method) (pytabkit.models.nn_models.tabr_lib.CatEmbeddings method) (pytabkit.models.nn_models.tabr_lib.CLSEmbedding method) (pytabkit.models.nn_models.tabr_lib.Lambda method) (pytabkit.models.nn_models.tabr_lib.LinearEmbeddings method) (pytabkit.models.nn_models.tabr_lib.MLP method) (pytabkit.models.nn_models.tabr_lib.MLP.Block method) (pytabkit.models.nn_models.tabr_lib.NLinear method) (pytabkit.models.nn_models.tabr_lib.OneHotEncoder method) (pytabkit.models.nn_models.tabr_lib.PBLDEmbeddings method) (pytabkit.models.nn_models.tabr_lib.PeriodicEmbeddings method) (pytabkit.models.torch_utils.ClampWithIdentityGradientFunc static method)

forward_cont() (pytabkit.models.nn_models.activations.ParametricActivationLayer method) (pytabkit.models.nn_models.base.BiasLayer method) (pytabkit.models.nn_models.base.FunctionLayer method) (pytabkit.models.nn_models.base.Layer method) (pytabkit.models.nn_models.base.ScaleLayer method) (pytabkit.models.nn_models.base.WeightLayer method) (pytabkit.models.nn_models.nn.ClampLayer method) (pytabkit.models.nn_models.nn.DropoutLayer method) (pytabkit.models.nn_models.nn.NoiseLayer method) (pytabkit.models.nn_models.nn.NormWeightLayer method) (pytabkit.models.nn_models.nn.PeriodicEmbeddingsLayerSinCos method) (pytabkit.models.nn_models.nn.PLREmbeddingsLayer method) (pytabkit.models.nn_models.nn.PLREmbeddingsLayerCosBias method) (pytabkit.models.nn_models.nn.StochasticGateLayer method) (pytabkit.models.nn_models.pipeline.CircleCodingLayer method) (pytabkit.models.nn_models.pipeline.ReplaceMissingContLayer method) (pytabkit.models.nn_models.pipeline.SklearnTransformLayer method) (pytabkit.models.nn_models.pipeline.ThermometerCodingLayer method) forward_ds() (pytabkit.models.nn_models.base.Layer method) (pytabkit.models.nn_models.base.SequentialLayer method) forward_tensor_infos() (pytabkit.models.nn_models.base.ConcatParallelFitter method) (pytabkit.models.nn_models.base.FilterTensorsFactory method) (pytabkit.models.nn_models.base.Fitter method) (pytabkit.models.nn_models.base.Layer method) (pytabkit.models.nn_models.base.RenameTensorFactory method) (pytabkit.models.nn_models.base.ResidualFitter method) (pytabkit.models.nn_models.base.ResidualLayer method) (pytabkit.models.nn_models.base.SequentialFitter method) (pytabkit.models.nn_models.base.SequentialLayer method) (pytabkit.models.nn_models.categorical.EncodingFitter method) (pytabkit.models.nn_models.categorical.SingleEmbeddingFitter method) (pytabkit.models.nn_models.categorical.SingleOneHotFitter method) (pytabkit.models.nn_models.categorical.SingleOrdinalEncodingFitter method) (pytabkit.models.nn_models.categorical.SingleTargetEncodingFitter method) (pytabkit.models.nn_models.nn.AntisymmetricInitializationFitter method) (pytabkit.models.nn_models.nn.PeriodicEmbeddingsFactory method) (pytabkit.models.nn_models.nn.PLREmbeddingsFactory method) (pytabkit.models.nn_models.nn.SubtractionLayer method) (pytabkit.models.nn_models.nn.ToSoftLabelFitter method) (pytabkit.models.nn_models.nn.WeightFitter method) (pytabkit.models.nn_models.pipeline.CircleCodingFactory method) (pytabkit.models.nn_models.pipeline.ThermometerCodingFactory method) forward_tensors() (pytabkit.models.nn_models.base.ConcatParallelLayer method) (pytabkit.models.nn_models.base.FilterTensorsLayer method) (pytabkit.models.nn_models.base.IdentityLayer method) (pytabkit.models.nn_models.base.Layer method) (pytabkit.models.nn_models.base.RenameTensorLayer method) (pytabkit.models.nn_models.base.ResidualLayer method) (pytabkit.models.nn_models.base.SequentialLayer method) (pytabkit.models.nn_models.categorical.EncodingLayer method) (pytabkit.models.nn_models.categorical.SingleEmbeddingLayer method) (pytabkit.models.nn_models.categorical.SingleOneHotLayer method) (pytabkit.models.nn_models.categorical.SingleOrdinalEncodingLayer method) (pytabkit.models.nn_models.nn.LabelSmoothingLayer method) (pytabkit.models.nn_models.nn.NormalizeOutputLayer method) (pytabkit.models.nn_models.nn.StochasticLabelNoiseLayer method) (pytabkit.models.nn_models.nn.SubtractionLayer method) (pytabkit.models.nn_models.nn.ToSoftLabelLayer method) from_dict() (pytabkit.bench.data.tasks.TaskDescription static method) (pytabkit.models.data.data.TensorInfo static method) from_ds() (pytabkit.bench.data.tasks.TaskInfo static method) from_env_variables() (pytabkit.bench.data.paths.Paths static method) from_kwargs() (pytabkit.models.data.nested_dict.NestedDict static method) from_name() (pytabkit.bench.data.tasks.TaskCollection static method) from_openml_task_id() (pytabkit.bench.data.import_tasks.PandasTask static method) from_source() (pytabkit.bench.data.tasks.TaskCollection static method) FT_Transformer (class in pytabkit.models.nn_models.rtdl_resnet) FTT_D_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) FTT_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) FTT_D_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute) FTT_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) FTT_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) FTT_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) FTTransformerInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) FTTransformerSubSplitInterface (class in pytabkit.models.alg_interfaces.rtdl_interfaces) FunctionAlgFilter (class in pytabkit.bench.eval.evaluation) FunctionEvaluationTracker (class in pytabkit.models.hyper_opt.hyper_optimizers) FunctionFactory (class in pytabkit.models.nn_models.base) FunctionFitter (class in pytabkit.models.nn_models.base) FunctionLayer (class in pytabkit.models.nn_models.base) FunctionProcess (class in pytabkit.models.utils) FunctionRunner (class in pytabkit.models.utils) FunctionSchedule (class in pytabkit.models.training.scheduling)

G

gauss_cdf() (in module pytabkit.models.torch_utils) GBTInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) GBTSubSplitInterface (class in pytabkit.models.alg_interfaces.other_interfaces) geglu() (in module pytabkit.models.nn_models.rtdl_resnet) GenCoslogFunc (class in pytabkit.models.training.scheduling) generate_ablations_table() (in module pytabkit.bench.eval.tables) generate_architecture_table() (in module pytabkit.bench.eval.tables) generate_collections_table() (in module pytabkit.bench.eval.tables) generate_ds_table() (in module pytabkit.bench.eval.tables) generate_individual_results_table() (in module pytabkit.bench.eval.tables) generate_preprocessing_table() (in module pytabkit.bench.eval.tables) generate_refit_table() (in module pytabkit.bench.eval.tables) generate_stopping_table() (in module pytabkit.bench.eval.tables) get() (pytabkit.bench.eval.analysis.ResultsTables method) (pytabkit.models.data.nested_dict.NestedDict method) get_abalone() (in module pytabkit.bench.data.get_uci) get_activation_fn() (in module pytabkit.models.nn_models.rtdl_resnet) get_activity_recognition() (in module pytabkit.bench.data.get_uci) get_air_quality() (in module pytabkit.bench.data.get_uci) get_anuran_calls() (in module pytabkit.bench.data.get_uci) get_appliances_energy() (in module pytabkit.bench.data.get_uci) get_arabic_digit() (in module pytabkit.bench.data.get_uci) get_artificial_characters() (in module pytabkit.bench.data.get_uci) get_assamese_characters() (in module pytabkit.bench.data.get_uci) get_australian_sign_language() (in module pytabkit.bench.data.get_uci) get_available_device_names() (in module pytabkit.models.torch_utils) get_available_memory_gb() (in module pytabkit.models.torch_utils) get_available_predict_params() (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.MultiSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.NNAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.RandomParamsNNAlgInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.SingleSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.TreeBasedSubSplitInterface method) (pytabkit.models.alg_interfaces.tabm_interface.RandomParamsTabMAlgInterface method) (pytabkit.models.alg_interfaces.xgboost_interfaces.RandomParamsXGBAlgInterface method) get_avg_predict_times() (in module pytabkit.bench.eval.runtimes) get_avg_train_times() (in module pytabkit.bench.eval.runtimes) get_avila() (in module pytabkit.bench.data.get_uci) get_bach_chorals_harmony() (in module pytabkit.bench.data.get_uci) get_bank_marketing() (in module pytabkit.bench.data.get_uci) get_batch() (pytabkit.models.data.data.DictDataset method) get_batch_intervals() (in module pytabkit.models.utils) get_bejing_pm25() (in module pytabkit.bench.data.get_uci) get_benchmark_results() (in module pytabkit.bench.eval.analysis) get_best_params_and_result() (pytabkit.models.hyper_opt.hyper_optimizers.FunctionEvaluationTracker method) get_bike_sharing() (in module pytabkit.bench.data.get_uci) get_bitcoin_heist() (in module pytabkit.bench.data.get_uci) get_ble_rssi_indoor_location() (in module pytabkit.bench.data.get_uci) get_blood_pressure() (in module pytabkit.bench.data.get_uci) get_carbon_nanotubes() (in module pytabkit.bench.data.get_uci) get_cargo_2000() (in module pytabkit.bench.data.get_uci) get_cat_size_product() (pytabkit.models.data.data.TensorInfo method) get_cat_sizes() (pytabkit.models.data.data.TensorInfo method) get_categories_in_mixed_data() (in module pytabkit.bench.data.uci_file_ops) get_category_replace_string() (in module pytabkit.bench.data.uci_file_ops) get_census_income() (in module pytabkit.bench.data.get_uci) get_character_trajectories() (in module pytabkit.bench.data.get_uci) get_chess() (in module pytabkit.bench.data.get_uci) get_chess_krvk() (in module pytabkit.bench.data.get_uci) get_coefs() (pytabkit.models.alg_interfaces.resource_computation.LogLinearRegressor method) (pytabkit.models.alg_interfaces.resource_computation.NormalizedDataRegressor method) get_config() (pytabkit.models.sklearn.sklearn_base.AlgInterfaceEstimator method) get_cos_sched() (in module pytabkit.models.training.scheduling) get_cos_warm_sched() (in module pytabkit.models.training.scheduling) get_cpu_ram_gb() (pytabkit.bench.scheduling.resources.NodeResources method) (pytabkit.bench.scheduling.resources.SystemResources method) get_criterions() (pytabkit.models.training.nn_creator.NNCreator method) get_crop_mapping() (in module pytabkit.bench.data.get_uci) get_crowd_sourced_mapping() (in module pytabkit.bench.data.get_uci) get_current_predict_params_dict() (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) get_current_predict_params_name() (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) get_cycle_power_plant() (in module pytabkit.bench.data.get_uci) get_d_out() (in module pytabkit.models.nn_models.tabr_lib) get_default_callbacks() (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierWrapped method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorWrapped method) get_default_credit_card() (in module pytabkit.bench.data.get_uci) get_default_splits() (pytabkit.bench.data.tasks.TaskInfo method) get_desc() (pytabkit.bench.run.task_execution.TabBenchJob method) (pytabkit.bench.scheduling.jobs.AbstractJob method) get_dict() (pytabkit.models.data.nested_dict.NestedDict method) get_display_name() (in module pytabkit.bench.eval.analysis) get_ds_size_gb() (pytabkit.bench.data.tasks.TaskInfo method) get_eeg_eye_state() (in module pytabkit.bench.data.get_uci) get_EEG_steady_state() (in module pytabkit.bench.data.get_uci) get_eeg_steady_state_visual() (in module pytabkit.bench.data.get_uci) get_electrical_grid_stability_simulated() (in module pytabkit.bench.data.get_uci) get_embedding_size() (in module pytabkit.models.nn_models.categorical) get_emg_for_gestures() (in module pytabkit.bench.data.get_uci) get_emg_physical_action() (in module pytabkit.bench.data.get_uci) get_ensemble_groups() (in module pytabkit.bench.eval.analysis) get_epileptic_seizure_recognition() (in module pytabkit.bench.data.get_uci) get_equidistant_blue_colors() (in module pytabkit.bench.eval.plotting) get_equidistant_colors() (in module pytabkit.bench.eval.plotting) get_facebook_comment_volume() (in module pytabkit.bench.data.get_uci) get_facebook_live_sellers_thailand() (in module pytabkit.bench.data.get_uci) get_feat_shape() (pytabkit.models.data.data.TensorInfo method) get_final_error() (pytabkit.models.alg_interfaces.catboost_interfaces.CatBoostCustomMetric method) get_firewall() (in module pytabkit.bench.data.get_uci) get_firm_teacher_clave() (in module pytabkit.bench.data.get_uci) get_first_layer_weights() (pytabkit.models.alg_interfaces.nn_interfaces.NNAlgInterface method) get_first_order_theorem_proving() (in module pytabkit.bench.data.get_uci) get_fit_params() (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) get_fit_progress() (pytabkit.models.training.scheduling.LearnerProgress method) get_five_cities_pm25() (in module pytabkit.bench.data.get_uci) get_fixed_resources() (pytabkit.bench.scheduling.resource_manager.ResourceManager method) get_free_resources() (pytabkit.bench.scheduling.resource_manager.ResourceManager method) get_gas_sensor_drift() (in module pytabkit.bench.data.get_uci) get_gas_turbine() (in module pytabkit.bench.data.get_uci) get_gesture_phase_segmentation() (in module pytabkit.bench.data.get_uci) get_global_context() (pytabkit.models.nn_models.base.TrainContext static method) get_gnfuv_unmanned_surface_vehicles() (in module pytabkit.bench.data.get_uci) get_gpu_ram_gb() (pytabkit.bench.scheduling.resources.SystemResources method) get_gpu_rams_gb() (in module pytabkit.bench.scheduling.execution) (pytabkit.bench.scheduling.resources.NodeResources method) get_gpu_usage() (pytabkit.bench.scheduling.resources.SystemResources method) get_gpu_usages() (pytabkit.bench.scheduling.resources.NodeResources method) get_grammatical_facial_expressions() (in module pytabkit.bench.data.get_uci) get_group() (pytabkit.bench.run.task_execution.TabBenchJob method) (pytabkit.bench.scheduling.jobs.AbstractJob method) get_hiv_1_protease() (in module pytabkit.bench.data.get_uci) get_htru2() (in module pytabkit.bench.data.get_uci) get_human_activity_smartphone() (in module pytabkit.bench.data.get_uci) get_hyper_sched_values() (pytabkit.models.training.coord.HyperparamManager method) get_hyper_values() (pytabkit.models.optim.optimizers.OptimizerBase method) get_id_sched() (in module pytabkit.models.training.scheduling) get_idxs() (pytabkit.models.data.splits.AllNothingSplitter method) (pytabkit.models.data.splits.IndexSplitter method) (pytabkit.models.data.splits.KFoldSplitter method) (pytabkit.models.data.splits.MultiSplitter method) (pytabkit.models.data.splits.RandomSplitter method) (pytabkit.models.data.splits.Splitter method) get_importances() (pytabkit.models.alg_interfaces.nn_interfaces.NNAlgInterface method) get_indoor_channel_measurements() (in module pytabkit.bench.data.get_uci) get_indoor_loc() (in module pytabkit.bench.data.get_uci) get_indoor_loc_mag() (in module pytabkit.bench.data.get_uci) get_indoor_user_movement_prediction() (in module pytabkit.bench.data.get_uci) get_insurance_benchmark() (in module pytabkit.bench.data.get_uci) get_interface_resources() (pytabkit.bench.scheduling.resources.NodeResources method) get_intervals() (pytabkit.bench.eval.evaluation.MeanTableAnalyzer method) get_isolet() (in module pytabkit.bench.data.get_uci) get_KDC_4007() (in module pytabkit.bench.data.get_uci) get_landsat_satimage() (in module pytabkit.bench.data.get_uci) get_letter_recognition() (in module pytabkit.bench.data.get_uci) get_lignting_accel_and_devices() (in module pytabkit.models.alg_interfaces.nn_interfaces) get_lin_sched() (in module pytabkit.models.training.scheduling) get_lr() (in module pytabkit.models.nn_models.tabr_lib) get_madelon() (in module pytabkit.bench.data.get_uci) get_magic_gamma_telescope() (in module pytabkit.bench.data.get_uci) get_max_n_vectorized() (pytabkit.bench.alg_wrappers.general.AlgWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.NNHyperoptInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.NNInterfaceWrapper method) get_means() (pytabkit.bench.eval.evaluation.MeanTableAnalyzer method) get_metro_interstate_traffic_volume() (in module pytabkit.bench.data.get_uci) get_meu_mobile_ksd() (in module pytabkit.bench.data.get_uci) get_model_ram_gb() (pytabkit.models.alg_interfaces.nn_interfaces.NNAlgInterface method) get_more_info_dict() (pytabkit.models.training.coord.HyperparamManager method) get_mushroom() (in module pytabkit.bench.data.get_uci) get_musk() (in module pytabkit.bench.data.get_uci) get_n_classes() (pytabkit.bench.data.import_tasks.PandasTask method) (pytabkit.bench.data.tasks.TaskInfo method) (pytabkit.models.data.data.DictDataset method) get_n_features() (pytabkit.models.data.data.TensorInfo method) get_n_forward() (pytabkit.models.nn_models.base.ConcatParallelFitter method) (pytabkit.models.nn_models.base.Fitter method) (pytabkit.models.nn_models.base.RenameTensorFactory method) (pytabkit.models.nn_models.base.ResidualFitter method) (pytabkit.models.nn_models.base.SequentialFitter method) (pytabkit.models.nn_models.categorical.EncodingFitter method) (pytabkit.models.nn_models.nn.AntisymmetricInitializationFitter method) (pytabkit.models.nn_models.nn.PeriodicEmbeddingsFactory method) (pytabkit.models.nn_models.nn.PLREmbeddingsFactory method) (pytabkit.models.nn_models.nn.StochasticGateFactory method) get_n_groups() (pytabkit.bench.eval.evaluation.TaskWeighting method) get_n_hyperopt_steps() (pytabkit.models.hyper_opt.hyper_optimizers.HyperOptimizer method) get_n_parameters() (in module pytabkit.models.nn_models.tabr_lib) get_n_params() (pytabkit.models.nn_models.activations.ParametricActivationFitter method) (pytabkit.models.nn_models.base.ConcatParallelFitter method) (pytabkit.models.nn_models.base.Fitter method) (pytabkit.models.nn_models.base.ResidualFitter method) (pytabkit.models.nn_models.base.SequentialFitter method) (pytabkit.models.nn_models.categorical.EncodingFitter method) (pytabkit.models.nn_models.categorical.SingleEmbeddingFitter method) (pytabkit.models.nn_models.categorical.SingleTargetEncodingFitter method) (pytabkit.models.nn_models.nn.AntisymmetricInitializationFitter method) (pytabkit.models.nn_models.nn.BiasFitter method) (pytabkit.models.nn_models.nn.ClampOutputFactory method) (pytabkit.models.nn_models.nn.NormalizeOutputFactory method) (pytabkit.models.nn_models.nn.PeriodicEmbeddingsFactory method) (pytabkit.models.nn_models.nn.PLREmbeddingsFactory method) (pytabkit.models.nn_models.nn.ScaleFitter method) (pytabkit.models.nn_models.nn.StochasticGateFactory method) (pytabkit.models.nn_models.nn.WeightFitter method) (pytabkit.models.nn_models.pipeline.GlobalScaleNormalizeFactory method) (pytabkit.models.nn_models.pipeline.L1NormalizeFactory method) (pytabkit.models.nn_models.pipeline.L2NormalizeFactory method) (pytabkit.models.nn_models.pipeline.MeanCenterFactory method) (pytabkit.models.nn_models.pipeline.MeanReplaceMissingContFactory method) (pytabkit.models.nn_models.pipeline.MedianCenterFactory method) (pytabkit.models.nn_models.pipeline.MinMaxScaleFactory method) (pytabkit.models.nn_models.pipeline.RobustScaleFactory method) (pytabkit.models.nn_models.pipeline.RobustScaleV2Factory method) (pytabkit.models.nn_models.pipeline.ThermometerCodingFactory method)

get_n_physical_cores() (pytabkit.bench.scheduling.resources.NodeResources method) get_n_samples() (pytabkit.bench.data.import_tasks.PandasTask method) get_n_threads() (pytabkit.bench.scheduling.resources.NodeResources method) (pytabkit.bench.scheduling.resources.SystemResources method) get_naval_propulsion() (in module pytabkit.bench.data.get_uci) get_nomao() (in module pytabkit.bench.data.get_uci) get_nonglu_activation_fn() (in module pytabkit.models.nn_models.rtdl_resnet) get_num_gpus() (pytabkit.bench.scheduling.resources.SystemResources method) get_num_iterated_samples() (pytabkit.models.data.data.ParallelDictDataLoader method) get_num_samples() (pytabkit.models.data.data.ParallelDictDataLoader method) get_nursery() (in module pytabkit.bench.data.get_uci) get_occupancy_detection() (in module pytabkit.bench.data.get_uci) get_online_news_popularity() (in module pytabkit.bench.data.get_uci) get_online_shoppers_attention() (in module pytabkit.bench.data.get_uci) get_openml_ds_names() (in module pytabkit.bench.data.import_tasks) get_openml_task_ids() (in module pytabkit.bench.data.import_tasks) get_opportunity_activity() (in module pytabkit.bench.data.get_uci) get_opt_class() (in module pytabkit.models.optim.optimizers) get_opt_groups() (in module pytabkit.bench.eval.analysis) get_optical_recognition_handwritten_digits() (in module pytabkit.bench.data.get_uci) get_oral_toxicity() (in module pytabkit.bench.data.get_uci) get_ozone_level() (in module pytabkit.bench.data.get_uci) get_page_blocks() (in module pytabkit.bench.data.get_uci) get_parking_birmingham() (in module pytabkit.bench.data.get_uci) get_parkinson() (in module pytabkit.bench.data.get_uci) get_pen_recognition_handwritten_characters() (in module pytabkit.bench.data.get_uci) get_phishing() (in module pytabkit.bench.data.get_uci) get_physical_core_usages() (pytabkit.bench.scheduling.resources.NodeResources method) get_plot_color() (in module pytabkit.bench.eval.plotting) get_plot_color_idx() (in module pytabkit.bench.eval.plotting) get_pmu_ud() (in module pytabkit.bench.data.get_uci) get_polish_companies_bankruptcy() (in module pytabkit.bench.data.get_uci) get_pred_param_names() (pytabkit.bench.alg_wrappers.general.AlgWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.AlgInterfaceWrapper method) get_predict_dataloader() (pytabkit.models.training.lightning_modules.TabNNModule method) get_prep_factory() (in module pytabkit.bench.alg_wrappers.interface_wrappers) get_protein_tertiary_structure() (in module pytabkit.bench.data.get_uci) get_query_analytics() (in module pytabkit.bench.data.get_uci) get_ram_usage_gb() (pytabkit.models.utils.FunctionProcess method) get_random_splits() (pytabkit.bench.data.tasks.TaskInfo method) get_ranks() (in module pytabkit.bench.eval.evaluation) get_real_estate_value() (in module pytabkit.bench.data.get_uci) get_realmlp_auto_batch_size() (in module pytabkit.models.training.nn_creator) get_refit_interface() (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.MultiSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.OptAlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.RandomParamsAlgInterface method) (pytabkit.models.alg_interfaces.catboost_interfaces.CatBoostSubSplitInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.AlgorithmSelectionAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.CaruanaEnsembleAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.PrecomputedPredictionsAlgInterface method) (pytabkit.models.alg_interfaces.lightgbm_interfaces.LGBMSubSplitInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.NNAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.RandomParamsNNAlgInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RandomParamsResnetAlgInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RandomParamsRTDLMLPAlgInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.SingleSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.tabm_interface.TabMSubSplitInterface method) (pytabkit.models.alg_interfaces.xgboost_interfaces.XGBSubSplitInterface method) (pytabkit.models.alg_interfaces.xrfm_interfaces.xRFMSubSplitInterface method) get_required_resources() (pytabkit.bench.alg_wrappers.general.AlgWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.AlgInterfaceWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.AlgorithmSelectionWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.CaruanaEnsembleWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.LoadResultsWrapper method) (pytabkit.bench.run.task_execution.TabBenchJob method) (pytabkit.bench.scheduling.jobs.AbstractJob method) (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.MultiSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.OptAlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.RandomParamsAlgInterface method) (pytabkit.models.alg_interfaces.autogluon_model_interfaces.AutoGluonModelAlgInterface method) (pytabkit.models.alg_interfaces.calibration.PostHocCalibrationAlgInterface method) (pytabkit.models.alg_interfaces.catboost_interfaces.CatBoostSklearnSubSplitInterface method) (pytabkit.models.alg_interfaces.catboost_interfaces.CatBoostSubSplitInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.AlgorithmSelectionAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.CaruanaEnsembleAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.PrecomputedPredictionsAlgInterface method) (pytabkit.models.alg_interfaces.lightgbm_interfaces.LGBMSklearnSubSplitInterface method) (pytabkit.models.alg_interfaces.lightgbm_interfaces.LGBMSubSplitInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.NNAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.NNHyperoptAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.RandomParamsNNAlgInterface method) (pytabkit.models.alg_interfaces.other_interfaces.ExtraTreesSubSplitInterface method) (pytabkit.models.alg_interfaces.other_interfaces.GBTSubSplitInterface method) (pytabkit.models.alg_interfaces.other_interfaces.GrandeSubSplitInterface method) (pytabkit.models.alg_interfaces.other_interfaces.KANSubSplitInterface method) (pytabkit.models.alg_interfaces.other_interfaces.KNNSubSplitInterface method) (pytabkit.models.alg_interfaces.other_interfaces.LinearModelSubSplitInterface method) (pytabkit.models.alg_interfaces.other_interfaces.RFSubSplitInterface method) (pytabkit.models.alg_interfaces.other_interfaces.SklearnMLPSubSplitInterface method) (pytabkit.models.alg_interfaces.other_interfaces.TabICLSubSplitInterface method) (pytabkit.models.alg_interfaces.other_interfaces.TabPFN2SubSplitInterface method) (pytabkit.models.alg_interfaces.resource_computation.ResourcePredictor method) (pytabkit.models.alg_interfaces.rtdl_interfaces.FTTransformerSubSplitInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RandomParamsResnetAlgInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RandomParamsRTDLMLPAlgInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.ResnetSubSplitInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RTDL_MLPSubSplitInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.SingleSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.tabm_interface.TabMSubSplitInterface method) (pytabkit.models.alg_interfaces.tabr_interface.TabRSubSplitInterface method) (pytabkit.models.alg_interfaces.xgboost_interfaces.XGBSklearnSubSplitInterface method) (pytabkit.models.alg_interfaces.xgboost_interfaces.XGBSubSplitInterface method) (pytabkit.models.alg_interfaces.xrfm_interfaces.xRFMSubSplitInterface method) get_resource_features() (in module pytabkit.models.alg_interfaces.resource_computation) get_resource_manager() (pytabkit.bench.scheduling.execution.RayJobManager method) get_resource_vector() (pytabkit.bench.scheduling.resources.NodeResources method) (pytabkit.bench.scheduling.resources.SystemResources method) (pytabkit.models.alg_interfaces.base.RequiredResources method) get_result_dict() (pytabkit.models.utils.Timer method) get_schedule() (in module pytabkit.models.training.scheduling) get_seismic_bumps() (in module pytabkit.bench.data.get_uci) get_seoul_bike_data() (in module pytabkit.bench.data.get_uci) get_shill_bidding() (in module pytabkit.bench.data.get_uci) get_shuffled() (pytabkit.models.data.data.DictDataset method) get_simplified_name() (in module pytabkit.bench.eval.analysis) get_simulated_falls() (in module pytabkit.bench.data.get_uci) get_size_gb() (pytabkit.models.data.data.DictDataset method) get_skill_craft() (in module pytabkit.bench.data.get_uci) get_smartphone_human_activity() (in module pytabkit.bench.data.get_uci) get_smartphone_human_activity_postural() (in module pytabkit.bench.data.get_uci) get_sml2010() (in module pytabkit.bench.data.get_uci) get_south_german_credit() (in module pytabkit.bench.data.get_uci) get_spambase() (in module pytabkit.bench.data.get_uci) get_split_sizes() (pytabkit.models.data.splits.AllNothingSplitter method) (pytabkit.models.data.splits.IndexSplitter method) (pytabkit.models.data.splits.KFoldSplitter method) (pytabkit.models.data.splits.RandomSplitter method) (pytabkit.models.data.splits.Splitter method) get_status() (pytabkit.bench.scheduling.resource_manager.JobInfo method) get_sub_dataset() (pytabkit.models.data.data.DictDataset method) get_sub_ds() (pytabkit.models.data.splits.Split method) get_sub_idxs() (pytabkit.models.data.splits.Split method) get_sub_scope() (pytabkit.models.nn_models.base.Scope method) get_sub_seed() (pytabkit.models.data.splits.SplitInfo method) get_sub_split_idxs() (pytabkit.models.alg_interfaces.base.SplitIdxs method) get_sub_split_idxs_alt() (pytabkit.models.alg_interfaces.base.SplitIdxs method) get_sub_splits() (pytabkit.models.data.splits.SplitInfo method) get_superconductivity() (in module pytabkit.bench.data.get_uci) get_t_mean_confidence_interval() (in module pytabkit.bench.eval.analysis) get_tabm_auto_batch_size() (in module pytabkit.models.alg_interfaces.tabm_interface) get_tamilnadu_electricity() (in module pytabkit.bench.data.get_uci) get_tarvel_review_ratings() (in module pytabkit.bench.data.get_uci) get_task() (pytabkit.bench.data.import_tasks.PandasTask method) get_task_weights() (pytabkit.bench.eval.evaluation.TaskWeighting method) get_test_results_table() (pytabkit.bench.eval.evaluation.MultiResultsTable method) get_thyroids() (in module pytabkit.bench.data.get_uci) get_total_gpu_ram_gb() (pytabkit.bench.scheduling.resources.NodeResources method) get_total_gpu_usage() (pytabkit.bench.scheduling.resources.NodeResources method) get_total_resources() (pytabkit.bench.scheduling.resource_manager.ResourceManager method) get_train_and_val_size() (pytabkit.models.data.splits.SplitInfo method) get_turkiye_student_evaluation() (in module pytabkit.bench.data.get_uci) get_used_gpu_ids() (pytabkit.bench.scheduling.resources.NodeResources method) get_used_physical_cores() (pytabkit.bench.scheduling.resources.NodeResources method) get_uuid_str() (in module pytabkit.models.utils) get_value() (pytabkit.models.training.scheduling.EpochLengthSqMomSchedule method) (pytabkit.models.training.scheduling.ProductSchedule_ method) (pytabkit.models.training.scheduling.Schedule method) (pytabkit.models.training.scheduling.StepFunctionSchedule method) (pytabkit.models.training.scheduling.SumSchedule_ method) (pytabkit.models.training.scheduling.TimeSchedule method) get_verbosity_level() (pytabkit.models.training.logging.Logger method) get_vicon_physical_action() (in module pytabkit.bench.data.get_uci) get_wall_following_robot() (in module pytabkit.bench.data.get_uci) get_wave_energy() (in module pytabkit.bench.data.get_uci) get_waveform() (in module pytabkit.bench.data.get_uci) get_wilt() (in module pytabkit.bench.data.get_uci) get_wine_quality() (in module pytabkit.bench.data.get_uci) get_Xy() (pytabkit.models.nn_models.tabr.TabrLightning method) (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) get_y_probs() (in module pytabkit.models.training.metrics) getSubfolderNames() (in module pytabkit.models.utils) getSubfolders() (in module pytabkit.models.utils) gg_color_hue() (in module pytabkit.bench.eval.plotting) GlobalScaleNormalizeFactory (class in pytabkit.models.nn_models.pipeline) golu() (in module pytabkit.models.nn_models.activations) GrandeInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) GrandeSubSplitInterface (class in pytabkit.models.alg_interfaces.other_interfaces) GrandeWrapper (class in pytabkit.models.alg_interfaces.other_interfaces) GreedyAlgSelectionTableAnalyzer (class in pytabkit.bench.eval.evaluation)

H

hash_tensor() (in module pytabkit.models.torch_utils) Head (pytabkit.models.nn_models.tabr_lib.MLP attribute) heplus_bias() (pytabkit.models.nn_models.nn.BiasFitter method) HyperOptimizer (class in pytabkit.models.hyper_opt.hyper_optimizers) HyperoptOptimizer (class in pytabkit.models.hyper_opt.hyper_optimizers)

HyperoptOptimizer.HyperoptFuncWrapper (class in pytabkit.models.hyper_opt.hyper_optimizers) HyperparamCallback (class in pytabkit.models.training.lightning_callbacks) Hyperparameter (class in pytabkit.models.hyper_opt.coord_opt) HyperparamManager (class in pytabkit.models.training.coord) HyperparamManager.HyperGetter (class in pytabkit.models.training.coord)

I

identity() (in module pytabkit.models.hyper_opt.coord_opt) (in module pytabkit.models.utils) identity_func() (in module pytabkit.models.training.scheduling) IdentityFactory (class in pytabkit.models.nn_models.base) IdentityFitter (class in pytabkit.models.nn_models.base) IdentityLayer (class in pytabkit.models.nn_models.base) import_from_csv() (in module pytabkit.bench.data.import_tasks) import_openml() (in module pytabkit.bench.data.import_tasks) import_talent_benchmark() (in module pytabkit.bench.data.import_talent_benchmark) import_uci_tasks() (in module pytabkit.bench.data.import_tasks) IndexSplitter (class in pytabkit.models.data.splits) infer_batch_size() (pytabkit.models.alg_interfaces.tabr_interface.TabRSubSplitInterface method) init_random_signs_() (in module pytabkit.models.nn_models.tabm) init_rsqrt_uniform_() (in module pytabkit.models.nn_models.tabm) initialize() (pytabkit.models.nn_models.rtdl_resnet.UniquePrefixCheckpoint method) initialize_optimizer() (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierCustomOptim method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorCustomOptim method)

initialize_optimizer_ft_transformer() (in module pytabkit.models.nn_models.rtdl_resnet) InputShapeSetterResnet (class in pytabkit.models.nn_models.rtdl_resnet) insert_missing_class_columns() (in module pytabkit.models.training.metrics) InterfaceResources (class in pytabkit.models.alg_interfaces.base) is_cat() (pytabkit.models.data.data.TensorInfo method) is_cont() (pytabkit.models.data.data.TensorInfo method) is_done() (pytabkit.models.utils.FunctionProcess method) is_empty() (pytabkit.models.data.data.TensorInfo method) is_failed() (pytabkit.bench.scheduling.resource_manager.JobInfo method) is_finished() (pytabkit.bench.scheduling.resource_manager.JobInfo method) is_max_optimal() (pytabkit.models.alg_interfaces.catboost_interfaces.CatBoostCustomMetric method) is_number() (in module pytabkit.bench.data.uci_file_ops) is_oom_exception() (in module pytabkit.models.nn_models.tabr_lib) is_remaining() (pytabkit.bench.scheduling.resource_manager.JobInfo method) is_running() (pytabkit.bench.scheduling.resource_manager.JobInfo method) is_succeed() (pytabkit.bench.scheduling.resource_manager.JobInfo method) iter_batches() (in module pytabkit.models.nn_models.tabr_lib)

J

job_finished() (pytabkit.bench.scheduling.resource_manager.ResourceManager method) job_started() (pytabkit.bench.scheduling.resource_manager.ResourceManager method) JobInfo (class in pytabkit.bench.scheduling.resource_manager) JobResult (class in pytabkit.bench.scheduling.jobs)

JobRunner (class in pytabkit.bench.scheduling.jobs) JobStatus (class in pytabkit.bench.scheduling.resource_manager) join() (pytabkit.models.data.data.DictDataset static method) join_dicts() (in module pytabkit.models.utils)

K

KANInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) KANSubSplitInterface (class in pytabkit.models.alg_interfaces.other_interfaces)

KFoldSplitter (class in pytabkit.models.data.splits) KNNInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) KNNSubSplitInterface (class in pytabkit.models.alg_interfaces.other_interfaces)

L

L1L2RegCallback (class in pytabkit.models.training.lightning_callbacks) L1NormalizeFactory (class in pytabkit.models.nn_models.pipeline) L2NormalizeFactory (class in pytabkit.models.nn_models.pipeline) LabelSmoothingFactory (class in pytabkit.models.nn_models.nn) LabelSmoothingFitter (class in pytabkit.models.nn_models.nn) LabelSmoothingLayer (class in pytabkit.models.nn_models.nn) Lambda (class in pytabkit.models.nn_models.tabr_lib) Layer (class in pytabkit.models.nn_models.base) LearnerProgress (class in pytabkit.models.training.scheduling) LearningRateLogger (class in pytabkit.models.nn_models.rtdl_resnet) lgbm_class_ram (pytabkit.models.alg_interfaces.resource_params.ResourceParams attribute) (pytabkit.models.alg_interfaces.resource_params.ResourceParamsOld attribute) lgbm_class_time (pytabkit.models.alg_interfaces.resource_params.ResourceParams attribute) (pytabkit.models.alg_interfaces.resource_params.ResourceParamsOld attribute) LGBM_D (pytabkit.models.sklearn.default_params.DefaultParams attribute) LGBM_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) LGBM_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) LGBM_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) LGBM_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) LGBM_HPO_TPE_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) LGBM_HPO_TPE_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) LGBM_TD_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) LGBM_TD_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) LGBM_TD_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute) LGBM_TD_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) LGBMCustomMetric (class in pytabkit.models.alg_interfaces.lightgbm_interfaces) LGBMHyperoptAlgInterface (class in pytabkit.models.alg_interfaces.lightgbm_interfaces)

LGBMHyperoptInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) LGBMInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) LGBMSklearnInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) LGBMSklearnSubSplitInterface (class in pytabkit.models.alg_interfaces.lightgbm_interfaces) LGBMSubSplitInterface (class in pytabkit.models.alg_interfaces.lightgbm_interfaces) limit_n_classes() (pytabkit.bench.data.import_tasks.PandasTask method) lin_func() (in module pytabkit.models.training.scheduling) LinearEfficientEnsemble (class in pytabkit.models.nn_models.tabm) LinearEmbeddings (class in pytabkit.models.nn_models.rtdl_num_embeddings) (class in pytabkit.models.nn_models.tabr_lib) LinearModelInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) LinearModelSubSplitInterface (class in pytabkit.models.alg_interfaces.other_interfaces) LinearReLUEmbeddings (class in pytabkit.models.nn_models.rtdl_num_embeddings) load() (pytabkit.bench.data.tasks.TaskInfo static method) (pytabkit.bench.eval.evaluation.MultiResultsTable static method) (pytabkit.bench.run.results.ResultManager static method) load_info() (pytabkit.bench.data.tasks.TaskDescription method) load_infos() (pytabkit.bench.data.tasks.TaskCollection method) load_mixed_raw_data() (in module pytabkit.bench.data.uci_file_ops) load_raw_data() (in module pytabkit.bench.data.uci_file_ops) load_task() (pytabkit.bench.data.tasks.TaskDescription method) (pytabkit.bench.data.tasks.TaskInfo method) LoadResultsWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) log() (pytabkit.models.training.logging.Logger method) Logger (class in pytabkit.models.training.logging) LogLinearModule (class in pytabkit.models.alg_interfaces.resource_computation) LogLinearRegressor (class in pytabkit.models.alg_interfaces.resource_computation) LREmbeddings (class in pytabkit.models.nn_models.tabr_lib)

M

make_efficient_ensemble() (in module pytabkit.models.nn_models.tabm) make_folder() (in module pytabkit.bench.data.uci_file_ops) make_module() (in module pytabkit.models.nn_models.tabm) (in module pytabkit.models.nn_models.tabr_lib) make_optimizer() (in module pytabkit.models.nn_models.tabr_lib) make_parameter_groups() (in module pytabkit.models.nn_models.tabm) (in module pytabkit.models.nn_models.tabr_lib) make_trainable_vector() (in module pytabkit.models.nn_models.tabr_lib) map() (pytabkit.bench.eval.evaluation.AlgTaskTable method) (pytabkit.models.utils.ProcessPoolMapper method) map_nested() (in module pytabkit.models.utils) matches() (pytabkit.models.nn_models.base.Scope method) matchFiles() (in module pytabkit.models.utils) mean_interleave() (in module pytabkit.models.training.metrics) MeanCenterFactory (class in pytabkit.models.nn_models.pipeline) MeanReplaceMissingContFactory (class in pytabkit.models.nn_models.pipeline) MeanTableAnalyzer (class in pytabkit.bench.eval.evaluation) measure_node_resources() (in module pytabkit.bench.scheduling.execution) MedianCenterFactory (class in pytabkit.models.nn_models.pipeline) Metrics (class in pytabkit.models.training.metrics) MinMaxScaleFactory (class in pytabkit.models.nn_models.pipeline) mish() (in module pytabkit.models.nn_models.activations) MishJitAutoFn (class in pytabkit.models.nn_models.activations) MLP (class in pytabkit.models.nn_models.tabm) (class in pytabkit.models.nn_models.tabr_lib) MLP.Block (class in pytabkit.models.nn_models.tabr_lib) MLP_PLR_D_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) MLP_PLR_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) MLP_PLR_D_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute) MLP_PLR_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) MLP_PLR_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) MLP_PLR_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) MLP_RTDL_D_CLASS_Grinsztajn (pytabkit.models.sklearn.default_params.DefaultParams attribute) MLP_RTDL_D_CLASS_TabZilla (pytabkit.models.sklearn.default_params.DefaultParams attribute) MLP_RTDL_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) MLP_RTDL_D_REG_Grinsztajn (pytabkit.models.sklearn.default_params.DefaultParams attribute) MLP_RTDL_D_REG_TabZilla (pytabkit.models.sklearn.default_params.DefaultParams attribute) MLP_RTDL_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) MLP_RTDL_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) MLP_RTDL_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) MLP_SKL_D (pytabkit.models.sklearn.default_params.DefaultParams attribute) MLP_SKL_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) MLP_SKL_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) MLPRTDLInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) Model (class in pytabkit.models.nn_models.tabm) ModelCheckpointCallback (class in pytabkit.models.training.lightning_callbacks) module pytabkit pytabkit.bench pytabkit.bench.alg_wrappers pytabkit.bench.alg_wrappers.general pytabkit.bench.alg_wrappers.interface_wrappers pytabkit.bench.data pytabkit.bench.data.common pytabkit.bench.data.get_uci pytabkit.bench.data.import_talent_benchmark pytabkit.bench.data.import_tasks pytabkit.bench.data.paths pytabkit.bench.data.tasks pytabkit.bench.data.uci_file_ops pytabkit.bench.eval pytabkit.bench.eval.analysis pytabkit.bench.eval.colors pytabkit.bench.eval.evaluation pytabkit.bench.eval.plotting pytabkit.bench.eval.runtimes pytabkit.bench.eval.tables pytabkit.bench.run pytabkit.bench.run.results pytabkit.bench.run.task_execution pytabkit.bench.scheduling pytabkit.bench.scheduling.execution pytabkit.bench.scheduling.jobs pytabkit.bench.scheduling.resource_manager pytabkit.bench.scheduling.resources pytabkit.bench.scheduling.schedulers pytabkit.models pytabkit.models.alg_interfaces pytabkit.models.alg_interfaces.alg_interfaces pytabkit.models.alg_interfaces.autogluon_model_interfaces pytabkit.models.alg_interfaces.base pytabkit.models.alg_interfaces.calibration pytabkit.models.alg_interfaces.catboost_interfaces pytabkit.models.alg_interfaces.ensemble_interfaces pytabkit.models.alg_interfaces.lightgbm_interfaces pytabkit.models.alg_interfaces.nn_interfaces pytabkit.models.alg_interfaces.other_interfaces pytabkit.models.alg_interfaces.resource_computation pytabkit.models.alg_interfaces.resource_params pytabkit.models.alg_interfaces.rtdl_interfaces pytabkit.models.alg_interfaces.sub_split_interfaces pytabkit.models.alg_interfaces.tabm_interface pytabkit.models.alg_interfaces.tabr_interface pytabkit.models.alg_interfaces.xgboost_interfaces pytabkit.models.alg_interfaces.xrfm_interfaces pytabkit.models.data pytabkit.models.data.conversion pytabkit.models.data.data pytabkit.models.data.nested_dict pytabkit.models.data.splits pytabkit.models.hyper_opt pytabkit.models.hyper_opt.coord_opt pytabkit.models.hyper_opt.hyper_optimizers pytabkit.models.nn_models pytabkit.models.nn_models.activations pytabkit.models.nn_models.base pytabkit.models.nn_models.categorical pytabkit.models.nn_models.models pytabkit.models.nn_models.nn pytabkit.models.nn_models.pipeline pytabkit.models.nn_models.rtdl_num_embeddings pytabkit.models.nn_models.rtdl_resnet pytabkit.models.nn_models.tabm pytabkit.models.nn_models.tabr pytabkit.models.nn_models.tabr_context_freeze pytabkit.models.nn_models.tabr_lib pytabkit.models.optim pytabkit.models.optim.adopt pytabkit.models.optim.optimizers pytabkit.models.optim.scheduling_adam pytabkit.models.sklearn pytabkit.models.sklearn.default_params pytabkit.models.sklearn.sklearn_base pytabkit.models.sklearn.sklearn_interfaces pytabkit.models.torch_utils pytabkit.models.training pytabkit.models.training.auc_mu pytabkit.models.training.coord pytabkit.models.training.lightning_callbacks pytabkit.models.training.lightning_modules pytabkit.models.training.logging pytabkit.models.training.metrics pytabkit.models.training.nn_creator pytabkit.models.training.scheduling pytabkit.models.utils

MoMoAdamOptimizer (class in pytabkit.models.optim.optimizers) more_percep_uniform_hue() (in module pytabkit.bench.eval.colors) move_label_in_front() (in module pytabkit.bench.data.uci_file_ops) mse() (in module pytabkit.models.training.metrics) mse_constant_predictor() (in module pytabkit.models.nn_models.rtdl_resnet) multi_pinball_loss() (in module pytabkit.models.training.metrics) multiclass_classification_data_folder (pytabkit.bench.data.uci_file_ops.UCIVars attribute) MultiheadAttention (class in pytabkit.models.nn_models.rtdl_resnet) MultiResultsTable (class in pytabkit.bench.eval.evaluation) MultiSplitAlgInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) MultiSplitter (class in pytabkit.models.data.splits) MultiSplitWrapperAlgInterface (class in pytabkit.models.alg_interfaces.alg_interfaces) my_decode() (in module pytabkit.bench.data.uci_file_ops) MyCustomError

N

n_tokens (pytabkit.models.nn_models.rtdl_resnet.Tokenizer property) NestedDict (class in pytabkit.models.data.nested_dict) NeuralNetClassifierCustomOptim (class in pytabkit.models.nn_models.rtdl_resnet) NeuralNetClassifierWrapped (class in pytabkit.models.nn_models.rtdl_resnet) NeuralNetRegressorCustomOptim (class in pytabkit.models.nn_models.rtdl_resnet) NeuralNetRegressorWrapped (class in pytabkit.models.nn_models.rtdl_resnet) new_tmp_folder() (pytabkit.bench.data.paths.Paths method) newDirname() (in module pytabkit.models.utils) NLinear (class in pytabkit.models.nn_models.tabm) (class in pytabkit.models.nn_models.tabr_lib) NNAlgInterface (class in pytabkit.models.alg_interfaces.nn_interfaces) NNCreator (class in pytabkit.models.training.nn_creator) NNFactory (class in pytabkit.models.nn_models.models) NNHyperoptAlgInterface (class in pytabkit.models.alg_interfaces.nn_interfaces) NNHyperoptInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers)

NNInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) node_runner() (in module pytabkit.bench.scheduling.execution) NodeManager (class in pytabkit.bench.scheduling.execution) NodeResources (class in pytabkit.bench.scheduling.resources) NoiseFitter (class in pytabkit.models.nn_models.nn) NoiseLayer (class in pytabkit.models.nn_models.nn) normalize_regression_y() (pytabkit.bench.data.import_tasks.PandasTask method) NormalizedDataRegressor (class in pytabkit.models.alg_interfaces.resource_computation) NormalizedLossTableAnalyzer (class in pytabkit.bench.eval.evaluation) NormalizeOutputFactory (class in pytabkit.models.nn_models.nn) NormalizeOutputLayer (class in pytabkit.models.nn_models.nn) NormWeightLayer (class in pytabkit.models.nn_models.nn) nsmallest() (in module pytabkit.models.utils) NTPLinearLayer (class in pytabkit.models.nn_models.tabr) numpy_to_native_rec() (in module pytabkit.models.utils)

O

objective() (pytabkit.models.alg_interfaces.alg_interfaces.OptAlgInterface method) ObjectLoadingContext (class in pytabkit.models.utils) on_after_backward() (pytabkit.models.training.lightning_callbacks.L1L2RegCallback method) on_before_backward() (pytabkit.models.training.lightning_callbacks.HyperparamCallback method) on_epoch_begin() (pytabkit.models.nn_models.rtdl_resnet.LearningRateLogger method) on_epoch_end() (pytabkit.models.nn_models.rtdl_resnet.EarlyStoppingCustomError method) on_exception() (pytabkit.models.alg_interfaces.tabr_interface.ExceptionPrintingCallback method) on_fit_end() (pytabkit.models.training.lightning_callbacks.HyperparamCallback method) (pytabkit.models.training.lightning_callbacks.ModelCheckpointCallback method) (pytabkit.models.training.lightning_modules.TabNNModule method) on_fit_start() (pytabkit.models.training.lightning_callbacks.ModelCheckpointCallback method) (pytabkit.models.training.lightning_callbacks.StopAtEpochsCallback method) (pytabkit.models.training.lightning_modules.TabNNModule method) on_predict_model_eval() (pytabkit.models.training.lightning_modules.TabNNModule method) on_test_model_eval() (pytabkit.models.training.lightning_modules.TabNNModule method) on_test_model_train() (pytabkit.models.training.lightning_modules.TabNNModule method)

on_train_batch_start() (pytabkit.models.training.lightning_callbacks.HyperparamCallback method) on_train_begin() (pytabkit.models.nn_models.rtdl_resnet.InputShapeSetterResnet method) on_train_end() (pytabkit.models.nn_models.rtdl_resnet.UniquePrefixCheckpoint method) on_train_epoch_end() (pytabkit.models.training.lightning_callbacks.StopAtEpochsCallback method) on_validation_end() (pytabkit.models.training.lightning_callbacks.ModelCheckpointCallback method) on_validation_epoch_end() (pytabkit.models.training.lightning_modules.TabNNModule method) on_validation_model_eval() (pytabkit.models.training.lightning_modules.TabNNModule method) on_validation_model_train() (pytabkit.models.training.lightning_modules.TabNNModule method) on_validation_start() (pytabkit.models.training.lightning_modules.TabNNModule method) OneHotEncoder (class in pytabkit.models.nn_models.tabr_lib) OneHotEncoding0d (class in pytabkit.models.nn_models.tabm) OPENML_CLASS (pytabkit.bench.data.common.TaskSource attribute) OPENML_CLASS_BIN_EXTRA (pytabkit.bench.data.common.TaskSource attribute) OPENML_REGRESSION (pytabkit.bench.data.common.TaskSource attribute) OptAlgInterface (class in pytabkit.models.alg_interfaces.alg_interfaces) optimize() (pytabkit.models.hyper_opt.hyper_optimizers.HyperOptimizer method) OptimizerBase (class in pytabkit.models.optim.optimizers)

P

PandasTask (class in pytabkit.bench.data.import_tasks) ParallelDictDataLoader (class in pytabkit.models.data.data) ParamCheckpointer (class in pytabkit.models.training.lightning_callbacks) ParametricActivationFitter (class in pytabkit.models.nn_models.activations) ParametricActivationLayer (class in pytabkit.models.nn_models.activations) ParametricMishActivationLayer (class in pytabkit.models.nn_models.tabr) ParametricReluActivationLayer (class in pytabkit.models.nn_models.tabr) partial_fit() (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierWrapped method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorWrapped method) Paths (class in pytabkit.bench.data.paths) pause() (pytabkit.models.utils.Timer method) PBLDEmbeddings (class in pytabkit.models.nn_models.tabr_lib) PeriodicEmbeddings (class in pytabkit.models.nn_models.rtdl_num_embeddings) (class in pytabkit.models.nn_models.tabr_lib) PeriodicEmbeddingsFactory (class in pytabkit.models.nn_models.nn) PeriodicEmbeddingsLayerSinCos (class in pytabkit.models.nn_models.nn) permute_idxs() (in module pytabkit.models.torch_utils) PiecewiseLinearEmbeddings (class in pytabkit.models.nn_models.rtdl_num_embeddings) PiecewiseLinearEncoding (class in pytabkit.models.nn_models.rtdl_num_embeddings) pinball_loss() (in module pytabkit.models.training.metrics) plot_benchmark_bars() (in module pytabkit.bench.eval.plotting) plot_cdd() (in module pytabkit.bench.eval.plotting) plot_cdd_ax() (in module pytabkit.bench.eval.plotting) plot_cumulative_ablations() (in module pytabkit.bench.eval.plotting) plot_pareto() (in module pytabkit.bench.eval.plotting) plot_pareto_ax() (in module pytabkit.bench.eval.plotting) plot_scatter() (in module pytabkit.bench.eval.plotting) plot_scatter_ax() (in module pytabkit.bench.eval.plotting) plot_schedule() (in module pytabkit.bench.eval.plotting) plot_schedules() (in module pytabkit.bench.eval.plotting) plot_stopping() (in module pytabkit.bench.eval.plotting) plot_stopping_ax() (in module pytabkit.bench.eval.plotting) plot_winrates() (in module pytabkit.bench.eval.plotting) plots() (pytabkit.bench.data.paths.Paths method) PLREmbeddings (class in pytabkit.models.nn_models.tabr_lib) PLREmbeddingsFactory (class in pytabkit.models.nn_models.nn) PLREmbeddingsLayer (class in pytabkit.models.nn_models.nn) PLREmbeddingsLayerCosBias (class in pytabkit.models.nn_models.nn) pop_finished_job_infos() (pytabkit.bench.scheduling.execution.RayJobManager method) pop_result() (pytabkit.models.utils.FunctionProcess method) PostHocCalibrationAlgInterface (class in pytabkit.models.alg_interfaces.calibration) postprocess_multiquantile() (in module pytabkit.models.training.lightning_modules) powerset_products() (pytabkit.models.alg_interfaces.resource_computation.FeatureSpec static method) PrecomputedPredictionsAlgInterface (class in pytabkit.models.alg_interfaces.ensemble_interfaces) predict() (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.MultiSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.OptAlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.RandomParamsAlgInterface method) (pytabkit.models.alg_interfaces.calibration.PostHocCalibrationAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.AlgorithmSelectionAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.CaruanaEnsembleAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.PrecomputedPredictionsAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.NNAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.RandomParamsNNAlgInterface method) (pytabkit.models.alg_interfaces.other_interfaces.GrandeWrapper method) (pytabkit.models.alg_interfaces.resource_computation.NormalizedDataRegressor method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RandomParamsResnetAlgInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RandomParamsRTDLMLPAlgInterface method) (pytabkit.models.alg_interfaces.rtdl_interfaces.SkorchSubSplitInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.SingleSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.SklearnSubSplitInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.TreeBasedSubSplitInterface method) (pytabkit.models.alg_interfaces.tabm_interface.TabMSubSplitInterface method) (pytabkit.models.alg_interfaces.tabr_interface.TabRSubSplitInterface method) (pytabkit.models.alg_interfaces.xrfm_interfaces.xRFMSubSplitInterface method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorWrapped method) (pytabkit.models.sklearn.sklearn_base.AlgInterfaceClassifier method) (pytabkit.models.sklearn.sklearn_base.AlgInterfaceRegressor method) predict_ensemble() (pytabkit.models.sklearn.sklearn_base.AlgInterfaceClassifier method) (pytabkit.models.sklearn.sklearn_base.AlgInterfaceRegressor method) predict_for_weights() (pytabkit.models.alg_interfaces.ensemble_interfaces.WeightedPrediction method) predict_proba() (pytabkit.models.alg_interfaces.other_interfaces.GrandeWrapper method) (pytabkit.models.sklearn.sklearn_base.AlgInterfaceClassifier method) predict_proba_ensemble() (pytabkit.models.sklearn.sklearn_base.AlgInterfaceClassifier method) predict_step() (pytabkit.models.nn_models.tabr.TabrLightning method) (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) (pytabkit.models.training.lightning_modules.TabNNModule method) prepare_new_data_set_group_id() (in module pytabkit.bench.data.uci_file_ops) PreprocessingFactory (class in pytabkit.models.nn_models.models) pretty_table_str() (in module pytabkit.models.utils) print_analysis() (pytabkit.bench.eval.evaluation.ArrayTableAnalyzer method) (pytabkit.bench.eval.evaluation.MeanTableAnalyzer method) (pytabkit.bench.eval.evaluation.TableAnalyzer method) print_but_serializable() (in module pytabkit.models.nn_models.rtdl_resnet) process_resource_features() (in module pytabkit.models.alg_interfaces.resource_computation) ProcessPoolMapper (class in pytabkit.models.utils) product() (pytabkit.models.alg_interfaces.resource_computation.FeatureSpec static method) ProductSchedule_ (class in pytabkit.models.training.scheduling) ProductTimeSchedule_ (class in pytabkit.models.training.scheduling) pytabkit module pytabkit.bench module pytabkit.bench.alg_wrappers module pytabkit.bench.alg_wrappers.general module pytabkit.bench.alg_wrappers.interface_wrappers module pytabkit.bench.data module pytabkit.bench.data.common module pytabkit.bench.data.get_uci module pytabkit.bench.data.import_talent_benchmark module pytabkit.bench.data.import_tasks module pytabkit.bench.data.paths module pytabkit.bench.data.tasks module pytabkit.bench.data.uci_file_ops module pytabkit.bench.eval module pytabkit.bench.eval.analysis module pytabkit.bench.eval.colors module pytabkit.bench.eval.evaluation module pytabkit.bench.eval.plotting module pytabkit.bench.eval.runtimes module pytabkit.bench.eval.tables module pytabkit.bench.run module pytabkit.bench.run.results module

pytabkit.bench.run.task_execution module pytabkit.bench.scheduling module pytabkit.bench.scheduling.execution module pytabkit.bench.scheduling.jobs module pytabkit.bench.scheduling.resource_manager module pytabkit.bench.scheduling.resources module pytabkit.bench.scheduling.schedulers module pytabkit.models module pytabkit.models.alg_interfaces module pytabkit.models.alg_interfaces.alg_interfaces module pytabkit.models.alg_interfaces.autogluon_model_interfaces module pytabkit.models.alg_interfaces.base module pytabkit.models.alg_interfaces.calibration module pytabkit.models.alg_interfaces.catboost_interfaces module pytabkit.models.alg_interfaces.ensemble_interfaces module pytabkit.models.alg_interfaces.lightgbm_interfaces module pytabkit.models.alg_interfaces.nn_interfaces module pytabkit.models.alg_interfaces.other_interfaces module pytabkit.models.alg_interfaces.resource_computation module pytabkit.models.alg_interfaces.resource_params module pytabkit.models.alg_interfaces.rtdl_interfaces module pytabkit.models.alg_interfaces.sub_split_interfaces module pytabkit.models.alg_interfaces.tabm_interface module pytabkit.models.alg_interfaces.tabr_interface module pytabkit.models.alg_interfaces.xgboost_interfaces module pytabkit.models.alg_interfaces.xrfm_interfaces module pytabkit.models.data module pytabkit.models.data.conversion module pytabkit.models.data.data module pytabkit.models.data.nested_dict module pytabkit.models.data.splits module pytabkit.models.hyper_opt module pytabkit.models.hyper_opt.coord_opt module pytabkit.models.hyper_opt.hyper_optimizers module pytabkit.models.nn_models module pytabkit.models.nn_models.activations module pytabkit.models.nn_models.base module pytabkit.models.nn_models.categorical module pytabkit.models.nn_models.models module pytabkit.models.nn_models.nn module pytabkit.models.nn_models.pipeline module pytabkit.models.nn_models.rtdl_num_embeddings module pytabkit.models.nn_models.rtdl_resnet module pytabkit.models.nn_models.tabm module pytabkit.models.nn_models.tabr module pytabkit.models.nn_models.tabr_context_freeze module pytabkit.models.nn_models.tabr_lib module pytabkit.models.optim module pytabkit.models.optim.adopt module pytabkit.models.optim.optimizers module pytabkit.models.optim.scheduling_adam module pytabkit.models.sklearn module pytabkit.models.sklearn.default_params module pytabkit.models.sklearn.sklearn_base module pytabkit.models.sklearn.sklearn_interfaces module pytabkit.models.torch_utils module pytabkit.models.training module pytabkit.models.training.auc_mu module pytabkit.models.training.coord module pytabkit.models.training.lightning_callbacks module pytabkit.models.training.lightning_modules module pytabkit.models.training.logging module pytabkit.models.training.metrics module pytabkit.models.training.nn_creator module pytabkit.models.training.scheduling module pytabkit.models.utils module

R

r (pytabkit.models.nn_models.tabm.LinearEfficientEnsemble attribute) RANDOM (pytabkit.bench.data.common.SplitType attribute) RandomParamsAlgInterface (class in pytabkit.models.alg_interfaces.alg_interfaces) RandomParamsCatBoostAlgInterface (class in pytabkit.models.alg_interfaces.catboost_interfaces) RandomParamsCatBoostInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsExtraTreesAlgInterface (class in pytabkit.models.alg_interfaces.other_interfaces) RandomParamsExtraTreesInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsFTTransformerAlgInterface (class in pytabkit.models.alg_interfaces.rtdl_interfaces) RandomParamsFTTransformerInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsKNNAlgInterface (class in pytabkit.models.alg_interfaces.other_interfaces) RandomParamsKNNInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsLGBMAlgInterface (class in pytabkit.models.alg_interfaces.lightgbm_interfaces) RandomParamsLGBMInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsLinearModelAlgInterface (class in pytabkit.models.alg_interfaces.other_interfaces) RandomParamsLinearModelInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsNNAlgInterface (class in pytabkit.models.alg_interfaces.nn_interfaces) RandomParamsNNInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsResnetAlgInterface (class in pytabkit.models.alg_interfaces.rtdl_interfaces) RandomParamsResnetInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsRFAlgInterface (class in pytabkit.models.alg_interfaces.other_interfaces) RandomParamsRFInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsRTDLMLPAlgInterface (class in pytabkit.models.alg_interfaces.rtdl_interfaces) RandomParamsRTDLMLPInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsTabMAlgInterface (class in pytabkit.models.alg_interfaces.tabm_interface) RandomParamsTabRAlgInterface (class in pytabkit.models.alg_interfaces.tabr_interface) RandomParamsTabRInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsXGBAlgInterface (class in pytabkit.models.alg_interfaces.xgboost_interfaces) RandomParamsXGBInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomParamsxRFMAlgInterface (class in pytabkit.models.alg_interfaces.xrfm_interfaces) RandomParamsxRFMInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RandomSplitter (class in pytabkit.models.data.splits) RankTableAnalyzer (class in pytabkit.bench.eval.evaluation) raw_data_folder (pytabkit.bench.data.uci_file_ops.UCIVars attribute) RayJobManager (class in pytabkit.bench.scheduling.execution) readFromFile() (in module pytabkit.models.utils) RealMLP_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) RealMLP_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) RealMLP_TD_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) RealMLP_TD_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) RealMLP_TD_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute) RealMLP_TD_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) RealMLP_TD_S_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) RealMLP_TD_S_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) RealMLP_TD_S_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute) RealMLP_TD_S_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) RealMLPParamSampler (class in pytabkit.models.alg_interfaces.nn_interfaces) RealTABR_D_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) RealTabR_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) 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(pytabkit.bench.eval.evaluation.AlgTaskTable method) RenameTensorFactory (class in pytabkit.models.nn_models.base) RenameTensorLayer (class in pytabkit.models.nn_models.base) replace_bin_cats_in_mixed_data() (in module pytabkit.bench.data.uci_file_ops) replace_categories_in_file() (in module pytabkit.bench.data.uci_file_ops) replace_categories_in_mixed_data() (in module pytabkit.bench.data.uci_file_ops) replace_chars_in_file() (in module pytabkit.bench.data.uci_file_ops)

replace_circulars_in_mixed_data() (in module pytabkit.bench.data.uci_file_ops) replace_isodate_by_day_in_mixed_data() (in module pytabkit.bench.data.uci_file_ops) replace_manual_in_mixed_data() (in module pytabkit.bench.data.uci_file_ops) replace_ordinals_in_mixed_data() (in module pytabkit.bench.data.uci_file_ops) replace_time_by_seconds_in_mixed_data() (in module pytabkit.bench.data.uci_file_ops) ReplaceMissingContLayer (class in pytabkit.models.nn_models.pipeline) RequiredResources (class in pytabkit.models.alg_interfaces.base) reset_parameters() (pytabkit.models.nn_models.rtdl_num_embeddings.LinearEmbeddings method) (pytabkit.models.nn_models.tabm.LinearEfficientEnsemble method) (pytabkit.models.nn_models.tabm.NLinear method) (pytabkit.models.nn_models.tabm.ScaleEnsemble method) (pytabkit.models.nn_models.tabr.TabrModel method) (pytabkit.models.nn_models.tabr_context_freeze.TabrModelContextFreeze method) (pytabkit.models.nn_models.tabr_lib.CatEmbeddings method) (pytabkit.models.nn_models.tabr_lib.LinearEmbeddings method) ResidualFitter (class in pytabkit.models.nn_models.base) ResidualLayer (class in pytabkit.models.nn_models.base) ResNet (class in pytabkit.models.nn_models.rtdl_resnet) RESNET_RTDL_D_CLASS_Grinsztajn (pytabkit.models.sklearn.default_params.DefaultParams attribute) RESNET_RTDL_D_CLASS_TabZilla (pytabkit.models.sklearn.default_params.DefaultParams attribute) Resnet_RTDL_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) RESNET_RTDL_D_REG_Grinsztajn (pytabkit.models.sklearn.default_params.DefaultParams attribute) RESNET_RTDL_D_REG_TabZilla (pytabkit.models.sklearn.default_params.DefaultParams attribute) Resnet_RTDL_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) Resnet_RTDL_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) Resnet_RTDL_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) ResNetRTDLInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) ResnetSubSplitInterface (class in pytabkit.models.alg_interfaces.rtdl_interfaces) ResourceManager (class in pytabkit.bench.scheduling.resource_manager) ResourceParams (class in pytabkit.models.alg_interfaces.resource_params) ResourceParamsOld (class in pytabkit.models.alg_interfaces.resource_params) ResourcePredictor (class in pytabkit.models.alg_interfaces.resource_computation) resources() (pytabkit.bench.data.paths.Paths method) resources_exp_it() (pytabkit.bench.data.paths.Paths method) restore() (pytabkit.models.training.lightning_callbacks.ModelCheckpointCallback method) (pytabkit.models.training.lightning_callbacks.ParamCheckpointer method) restore_all() (pytabkit.models.training.lightning_callbacks.ParamCheckpointer method) restore_ckpt_for_val_metric_name() (pytabkit.models.training.lightning_modules.TabNNModule method) result_summaries() (pytabkit.bench.data.paths.Paths method) ResultManager (class in pytabkit.bench.run.results) results() (pytabkit.bench.data.paths.Paths method) results_alg_task() (pytabkit.bench.data.paths.Paths method) results_alg_task_split() (pytabkit.bench.data.paths.Paths method) results_task() (pytabkit.bench.data.paths.Paths method) ResultsTables (class in pytabkit.bench.eval.analysis) reverse_argmin() (in module pytabkit.models.utils) reversed() (pytabkit.models.training.scheduling.TimeSchedule method) RF_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) RF_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) RF_SKL_D (pytabkit.models.sklearn.default_params.DefaultParams attribute) RF_SKL_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) RF_SKL_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) RFFeatureImportanceFactory (class in pytabkit.models.nn_models.nn) RFInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) RFSubSplitInterface (class in pytabkit.models.alg_interfaces.other_interfaces) RobustScaleFactory (class in pytabkit.models.nn_models.pipeline) RobustScaleV2Factory (class in pytabkit.models.nn_models.pipeline) RTDL_MLP (class in pytabkit.models.nn_models.rtdl_resnet) RTDL_MLP_ParamSamplerNew (class in pytabkit.models.alg_interfaces.rtdl_interfaces) RTDL_MLPSubSplitInterface (class in pytabkit.models.alg_interfaces.rtdl_interfaces) RTDL_ResNet_ParamSampler (class in pytabkit.models.alg_interfaces.rtdl_interfaces) RTDL_ResNet_ParamSamplerNew (class in pytabkit.models.alg_interfaces.rtdl_interfaces) run() (pytabkit.bench.alg_wrappers.general.AlgWrapper method) (pytabkit.bench.alg_wrappers.interface_wrappers.AlgInterfaceWrapper method) (pytabkit.bench.scheduling.schedulers.BaseJobScheduler method) (pytabkit.models.hyper_opt.coord_opt.CoordOptimizerImpl method) run_alg_selection() (in module pytabkit.bench.run.task_execution) run_jobs() (pytabkit.bench.run.task_execution.TabBenchJobManager method) RunConfig (class in pytabkit.bench.run.task_execution) RUNNING (pytabkit.bench.scheduling.resource_manager.JobStatus attribute)

S

s (pytabkit.models.nn_models.tabm.LinearEfficientEnsemble attribute) sample() (pytabkit.models.alg_interfaces.resource_computation.Sampler method) (pytabkit.models.alg_interfaces.resource_computation.UniformSampler method) sample_params() (pytabkit.models.alg_interfaces.nn_interfaces.RealMLPParamSampler method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RTDL_MLP_ParamSamplerNew method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RTDL_ResNet_ParamSampler method) (pytabkit.models.alg_interfaces.rtdl_interfaces.RTDL_ResNet_ParamSamplerNew method) sample_xrfm_params() (in module pytabkit.models.alg_interfaces.xrfm_interfaces) Sampler (class in pytabkit.models.alg_interfaces.resource_computation) save() (pytabkit.bench.data.tasks.Task method) (pytabkit.bench.data.tasks.TaskCollection method) (pytabkit.bench.data.tasks.TaskInfo method) (pytabkit.bench.run.results.ResultManager method) (pytabkit.models.training.lightning_callbacks.ParamCheckpointer method) save_all() (pytabkit.models.training.lightning_callbacks.ParamCheckpointer method) save_data_stats() (in module pytabkit.bench.data.uci_file_ops) save_data_to_file() (in module pytabkit.bench.data.uci_file_ops) save_summaries() (in module pytabkit.bench.run.results) scaled() (pytabkit.models.training.scheduling.TimeSchedule method) ScaledSchedule (class in pytabkit.models.training.scheduling) ScaleEnsemble (class in pytabkit.models.nn_models.tabm) ScaleFactory (class in pytabkit.models.nn_models.nn) ScaleFitter (class in pytabkit.models.nn_models.nn) ScaleLayer (class in pytabkit.models.nn_models.base) ScalingLayer (class in pytabkit.models.nn_models.tabr) sched_prod() (in module pytabkit.models.training.scheduling) sched_sum() (in module pytabkit.models.training.scheduling) Schedule (class in pytabkit.models.training.scheduling) ScheduleSequence (class in pytabkit.models.training.scheduling) SchedulingAdam (class in pytabkit.models.optim.scheduling_adam) SchedulingAdamOptimizer (class in pytabkit.models.optim.optimizers) Scope (class in pytabkit.models.nn_models.base) seeded_randperm() (in module pytabkit.models.torch_utils) select() (pytabkit.bench.eval.evaluation.EvalModeSelector method) select_eval_modes() (pytabkit.bench.eval.evaluation.DefaultEvalModeSelector method) (pytabkit.bench.eval.evaluation.EvalModeSelector method) select_from_config() (in module pytabkit.models.utils) select_nested() (in module pytabkit.models.utils) SequentialFactory (class in pytabkit.models.nn_models.base) SequentialFitter (class in pytabkit.models.nn_models.base) SequentialLayer (class in pytabkit.models.nn_models.base) serialize() (in module pytabkit.models.utils) set_categorical_indicator() (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierWrapped method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorWrapped method) set_context() (pytabkit.models.nn_models.base.ContextAware method) (pytabkit.models.nn_models.base.ContextRecorder method) set_cpu_ram_gb() (pytabkit.bench.scheduling.resources.NodeResources method) set_current_predict_params() (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) (pytabkit.models.alg_interfaces.alg_interfaces.MultiSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.sub_split_interfaces.SingleSplitWrapperAlgInterface method) (pytabkit.models.alg_interfaces.tabm_interface.RandomParamsTabMAlgInterface method) (pytabkit.models.alg_interfaces.xgboost_interfaces.RandomParamsXGBAlgInterface method) set_finished() (pytabkit.bench.scheduling.resource_manager.JobInfo method) set_fit_request() (pytabkit.models.sklearn.sklearn_base.AlgInterfaceClassifier method) (pytabkit.models.sklearn.sklearn_base.AlgInterfaceEstimator method) (pytabkit.models.sklearn.sklearn_base.AlgInterfaceRegressor method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_HPO_TPE_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_HPO_TPE_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_TD_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.Ensemble_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.Ensemble_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.Ensemble_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.Ensemble_TD_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.FTT_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.FTT_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.FTT_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.FTT_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_HPO_TPE_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_HPO_TPE_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_TD_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_PLR_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_PLR_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_PLR_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_PLR_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_RTDL_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_RTDL_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_RTDL_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_RTDL_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_SKL_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_SKL_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_TD_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_TD_S_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_TD_S_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RealTabR_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RealTabR_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.Resnet_RTDL_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.Resnet_RTDL_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.Resnet_RTDL_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.Resnet_RTDL_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RF_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RF_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RF_SKL_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RF_SKL_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.TabM_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.TabM_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.TabM_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.TabM_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.TabR_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.TabR_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.TabR_S_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.TabR_S_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_HPO_TPE_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_HPO_TPE_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_PBB_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_TD_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XRFM_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XRFM_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XRFM_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XRFM_HPO_Regressor method) set_gpu_rams_gb() (pytabkit.bench.scheduling.resources.NodeResources method) set_hp_context() (in module pytabkit.models.nn_models.base) set_lr() (in module pytabkit.models.nn_models.tabr_lib) set_max_cpu_ram_gb() (pytabkit.bench.scheduling.jobs.JobResult method) set_n_classes() (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierWrapped method) set_n_threads() (pytabkit.bench.scheduling.resources.NodeResources method) set_none_except() (in module pytabkit.models.utils) set_openml_cache_dir() (in module pytabkit.bench.data.import_tasks) set_partial_fit_request() (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierCustomOptim method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierWrapped method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorCustomOptim method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorWrapped method) set_predict_mean() (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorWrapped method) set_scope_context() (in module pytabkit.models.nn_models.base) set_score_request() (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierCustomOptim method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetClassifierWrapped method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorCustomOptim method) (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorWrapped method) (pytabkit.models.sklearn.sklearn_base.AlgInterfaceClassifier method) (pytabkit.models.sklearn.sklearn_base.AlgInterfaceRegressor method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_HPO_TPE_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_HPO_TPE_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.CatBoost_TD_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.Ensemble_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.Ensemble_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.Ensemble_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.Ensemble_TD_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.FTT_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.FTT_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.FTT_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.FTT_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_HPO_TPE_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_HPO_TPE_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.LGBM_TD_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_PLR_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_PLR_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_PLR_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_PLR_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_RTDL_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_RTDL_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_RTDL_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_RTDL_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_SKL_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.MLP_SKL_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_TD_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_TD_S_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RealMLP_TD_S_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RealTabR_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RealTabR_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.Resnet_RTDL_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.Resnet_RTDL_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.Resnet_RTDL_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.Resnet_RTDL_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RF_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RF_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.RF_SKL_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.RF_SKL_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.TabM_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.TabM_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.TabM_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.TabM_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.TabR_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.TabR_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.TabR_S_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.TabR_S_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_HPO_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_HPO_TPE_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_HPO_TPE_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_PBB_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_TD_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XGB_TD_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XRFM_D_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XRFM_D_Regressor method) (pytabkit.models.sklearn.sklearn_interfaces.XRFM_HPO_Classifier method) (pytabkit.models.sklearn.sklearn_interfaces.XRFM_HPO_Regressor method)

set_started() (pytabkit.bench.scheduling.resource_manager.JobInfo method) set_y_train_mean() (pytabkit.models.nn_models.rtdl_resnet.NeuralNetRegressorWrapped method) setup() (pytabkit.models.nn_models.tabr.TabrLightning method) (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) setup_from_dataset() (pytabkit.models.training.nn_creator.NNCreator method) SFAdamOptimizer (class in pytabkit.models.optim.optimizers) SGDOptimizer (class in pytabkit.models.optim.optimizers) shift_dim_nested() (in module pytabkit.models.utils) shorten_coll_names() (in module pytabkit.bench.eval.plotting) should_add_fixed_resources() (pytabkit.models.alg_interfaces.base.RequiredResources method) show_eval() (in module scripts.run_evaluation) SimpleJobScheduler (class in pytabkit.bench.scheduling.schedulers) SingleEmbeddingFactory (class in pytabkit.models.nn_models.categorical) SingleEmbeddingFitter (class in pytabkit.models.nn_models.categorical) SingleEmbeddingLayer (class in pytabkit.models.nn_models.categorical) SingleEncodingFactory (class in pytabkit.models.nn_models.categorical) SingleOneHotFactory (class in pytabkit.models.nn_models.categorical) SingleOneHotFitter (class in pytabkit.models.nn_models.categorical) SingleOneHotLayer (class in pytabkit.models.nn_models.categorical) SingleOrdinalEncodingFactory (class in pytabkit.models.nn_models.categorical) SingleOrdinalEncodingFitter (class in pytabkit.models.nn_models.categorical) SingleOrdinalEncodingLayer (class in pytabkit.models.nn_models.categorical) SingleSplitAlgInterface (class in pytabkit.models.alg_interfaces.alg_interfaces) SingleSplitWrapperAlgInterface (class in pytabkit.models.alg_interfaces.sub_split_interfaces) SingleTargetEncodingFactory (class in pytabkit.models.nn_models.categorical) SingleTargetEncodingFitter (class in pytabkit.models.nn_models.categorical) SklearnMLPInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) SklearnMLPSubSplitInterface (class in pytabkit.models.alg_interfaces.other_interfaces) SklearnSubSplitInterface (class in pytabkit.models.alg_interfaces.sub_split_interfaces) SklearnTransformFactory (class in pytabkit.models.nn_models.pipeline) SklearnTransformLayer (class in pytabkit.models.nn_models.pipeline) SkorchSubSplitInterface (class in pytabkit.models.alg_interfaces.rtdl_interfaces) SMACOptimizer (class in pytabkit.models.hyper_opt.hyper_optimizers) SMACOptimizer.SMACFuncWrapper (class in pytabkit.models.hyper_opt.hyper_optimizers) smooth_clip_func() (in module pytabkit.models.nn_models.models) softmax_kldiv() (in module pytabkit.models.training.metrics) Split (class in pytabkit.models.data.splits) split_ds() (pytabkit.models.data.splits.AllNothingSplitter method) (pytabkit.models.data.splits.MultiSplitter method) (pytabkit.models.data.splits.Splitter method) split_off_dynamic() (pytabkit.models.nn_models.base.Fitter method) (pytabkit.models.nn_models.base.ResidualFitter method) (pytabkit.models.nn_models.base.SequentialFitter method) split_off_individual() (pytabkit.models.nn_models.base.Fitter method) (pytabkit.models.nn_models.base.ResidualFitter method) (pytabkit.models.nn_models.base.SequentialFitter method) split_xy() (pytabkit.models.data.data.DictDataset method) SplitIdxs (class in pytabkit.models.alg_interfaces.base) SplitInfo (class in pytabkit.models.data.splits) Splitter (class in pytabkit.models.data.splits) SplitType (class in pytabkit.bench.data.common) stack() (pytabkit.models.nn_models.base.Layer method) (pytabkit.models.nn_models.base.Variable static method) start() (pytabkit.bench.scheduling.execution.NodeManager method) (pytabkit.bench.scheduling.execution.RayJobManager method) (pytabkit.models.torch_utils.TorchTimer method) (pytabkit.models.utils.FunctionProcess method) (pytabkit.models.utils.Timer method) statistics_filename (pytabkit.bench.data.uci_file_ops.UCIVars attribute) StdoutLogger (class in pytabkit.models.training.logging) step() (pytabkit.models.optim.adopt.ADOPT method) (pytabkit.models.optim.optimizers.OptimizerBase method) (pytabkit.models.optim.scheduling_adam.SchedulingAdam method) StepFunctionSchedule (class in pytabkit.models.training.scheduling) StochasticGateFactory (class in pytabkit.models.nn_models.nn) StochasticGateLayer (class in pytabkit.models.nn_models.nn) StochasticLabelNoiseFactory (class in pytabkit.models.nn_models.nn) StochasticLabelNoiseFitter (class in pytabkit.models.nn_models.nn) StochasticLabelNoiseLayer (class in pytabkit.models.nn_models.nn) stop() (pytabkit.models.torch_utils.TorchTimer method) StopAtEpochsCallback (class in pytabkit.models.training.lightning_callbacks) StringConvertible (class in pytabkit.models.nn_models.base) sub_scope_context() (in module pytabkit.models.nn_models.base) sub_scopes_context() (in module pytabkit.models.nn_models.base) submit_job() (pytabkit.bench.scheduling.execution.RayJobManager method) subsample() (pytabkit.bench.data.import_tasks.PandasTask method) SubSplitIdxs (class in pytabkit.models.alg_interfaces.base) SubSplitInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) SubtractionLayer (class in pytabkit.models.nn_models.nn) SUCCEEDED (pytabkit.bench.scheduling.resource_manager.JobStatus attribute) suggest() (pytabkit.models.hyper_opt.coord_opt.CoordOptimizerImpl method) summary_alg_task() (pytabkit.bench.data.paths.Paths method) SumSchedule_ (class in pytabkit.models.training.scheduling) SumTimeSchedule_ (class in pytabkit.models.training.scheduling) swish() (in module pytabkit.models.nn_models.activations) SystemResources (class in pytabkit.bench.scheduling.resources)

T

TABARENA_CLASS (pytabkit.bench.data.common.TaskSource attribute) TABARENA_REG (pytabkit.bench.data.common.TaskSource attribute) TabBenchJob (class in pytabkit.bench.run.task_execution) TabBenchJobManager (class in pytabkit.bench.run.task_execution) TabICLInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) TabICLSubSplitInterface (class in pytabkit.models.alg_interfaces.other_interfaces) TableAnalyzer (class in pytabkit.bench.eval.evaluation) TABM_D_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) TabM_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) TABM_D_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute) TabM_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) TabM_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) TabM_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) TabMInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) TabMSubSplitInterface (class in pytabkit.models.alg_interfaces.tabm_interface) TabNNModule (class in pytabkit.models.training.lightning_modules) TabPFN2InterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) TabPFN2SubSplitInterface (class in pytabkit.models.alg_interfaces.other_interfaces) TabR_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) TabR_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) TABR_S_D_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) TABR_S_D_CLASS_FREEZE (pytabkit.models.sklearn.default_params.DefaultParams attribute) TabR_S_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) TABR_S_D_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute) TABR_S_D_REG_FREEZE (pytabkit.models.sklearn.default_params.DefaultParams attribute) TabR_S_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) TabRInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) TabrLightning (class in pytabkit.models.nn_models.tabr) TabrLightningContextFreeze (class in pytabkit.models.nn_models.tabr_context_freeze) TabrModel (class in pytabkit.models.nn_models.tabr) TabrModelContextFreeze (class in pytabkit.models.nn_models.tabr_context_freeze) TabrModelContextFreeze.ForwardOutput (class in pytabkit.models.nn_models.tabr_context_freeze) TabrQuantileTransformer (class in pytabkit.models.utils) TabRSubSplitInterface (class in pytabkit.models.alg_interfaces.tabr_interface) tanh_clip_func() (in module pytabkit.models.nn_models.models) Task (class in pytabkit.bench.data.tasks) task_collections() (pytabkit.bench.data.paths.Paths method) task_source() (pytabkit.bench.data.paths.Paths method) TaskCollection (class in pytabkit.bench.data.tasks) TaskDescription (class in pytabkit.bench.data.tasks) TaskInfo (class in pytabkit.bench.data.tasks) TaskPackage (class in pytabkit.bench.data.tasks) tasks() (pytabkit.bench.data.paths.Paths method) tasks_task() (pytabkit.bench.data.paths.Paths method) TaskSource (class in pytabkit.bench.data.common) TaskType (class in pytabkit.models.data.data)

TaskWeighting (class in pytabkit.bench.eval.evaluation) TensorInfo (class in pytabkit.models.data.data) terminate() (pytabkit.bench.scheduling.execution.NodeManager method) (pytabkit.bench.scheduling.execution.RayJobManager method) ThermometerCodingFactory (class in pytabkit.models.nn_models.pipeline) ThermometerCodingLayer (class in pytabkit.models.nn_models.pipeline) TimePrinter (class in pytabkit.models.utils) Timer (class in pytabkit.models.utils) times() (pytabkit.bench.data.paths.Paths method) times_alg_task() (pytabkit.bench.data.paths.Paths method) TimeSchedule (class in pytabkit.models.training.scheduling) TimeWrapper (class in pytabkit.models.alg_interfaces.resource_computation) tmp() (pytabkit.bench.data.paths.Paths method) TmpPathContextManager (class in pytabkit.bench.data.paths) to() (pytabkit.models.alg_interfaces.alg_interfaces.AlgInterface method) (pytabkit.models.alg_interfaces.calibration.PostHocCalibrationAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.AlgorithmSelectionAlgInterface method) (pytabkit.models.alg_interfaces.ensemble_interfaces.CaruanaEnsembleAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.NNAlgInterface method) (pytabkit.models.alg_interfaces.nn_interfaces.RandomParamsNNAlgInterface method) (pytabkit.models.data.data.DictDataset method) (pytabkit.models.sklearn.sklearn_base.AlgInterfaceEstimator method) (pytabkit.models.training.lightning_modules.TabNNModule method) to_array() (pytabkit.bench.eval.evaluation.AlgTaskTable method) to_df() (in module pytabkit.models.sklearn.sklearn_base) (pytabkit.models.data.data.DictDataset method) to_dict() (pytabkit.bench.data.tasks.TaskDescription method) (pytabkit.models.data.data.TensorInfo method) to_normal_type() (in module pytabkit.models.sklearn.sklearn_base) to_one_hot() (in module pytabkit.models.training.metrics) ToDictDatasetConverter (class in pytabkit.models.data.conversion) Tokenizer (class in pytabkit.models.nn_models.rtdl_resnet) torch_np_quantile() (in module pytabkit.models.torch_utils) TorchTimer (class in pytabkit.models.torch_utils) ToSoftLabelFitter (class in pytabkit.models.nn_models.nn) ToSoftLabelLayer (class in pytabkit.models.nn_models.nn) train() (pytabkit.models.optim.optimizers.OptimizerBase method) train_dataloader() (pytabkit.models.nn_models.tabr.TabrLightning method) (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) TrainContext (class in pytabkit.models.nn_models.base) training_step() (pytabkit.models.nn_models.tabr.TabrLightning method) (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) (pytabkit.models.training.lightning_modules.TabNNModule method) transform() (pytabkit.models.data.conversion.ToDictDatasetConverter method) (pytabkit.models.utils.TabrQuantileTransformer method) TreeBasedSubSplitInterface (class in pytabkit.models.alg_interfaces.sub_split_interfaces) try_assign() (pytabkit.bench.scheduling.resources.NodeResources method)

U

UCI_BIN_CLASS (pytabkit.bench.data.common.TaskSource attribute) uci_download() (pytabkit.bench.data.paths.Paths method) UCI_MULTI_CLASS (pytabkit.bench.data.common.TaskSource attribute) UCI_REGRESSION (pytabkit.bench.data.common.TaskSource attribute) UCIVars (class in pytabkit.bench.data.uci_file_ops) un_z_raw_data() (in module pytabkit.bench.data.uci_file_ops) unarff_raw_data() (in module pytabkit.bench.data.uci_file_ops) ungz_raw_data() (in module pytabkit.bench.data.uci_file_ops) UniformSampler (class in pytabkit.models.alg_interfaces.resource_computation) UniquePrefixCheckpoint (class in pytabkit.models.nn_models.rtdl_resnet) unrar_raw_data() (in module pytabkit.bench.data.uci_file_ops)

untar_raw_data() (in module pytabkit.bench.data.uci_file_ops) unzip_raw_data() (in module pytabkit.bench.data.uci_file_ops) update() (pytabkit.models.data.nested_dict.NestedDict method) (pytabkit.models.training.scheduling.EpochLengthSqMomSchedule method) (pytabkit.models.training.scheduling.ProductSchedule_ method) (pytabkit.models.training.scheduling.Schedule method) (pytabkit.models.training.scheduling.StepFunctionSchedule method) (pytabkit.models.training.scheduling.SumSchedule_ method) (pytabkit.models.training.scheduling.TimeSchedule method) update_dict() (in module pytabkit.models.utils) update_hyper_sched_values() (pytabkit.models.training.coord.HyperparamManager method) update_hypers() (pytabkit.models.training.coord.HyperparamManager method)

V

val_dataloader() (pytabkit.models.nn_models.tabr.TabrLightning method) (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) ValDictDataLoader (class in pytabkit.models.data.data) validation_step() (pytabkit.models.nn_models.tabr.TabrLightning method) (pytabkit.models.nn_models.tabr_context_freeze.TabrLightningContextFreeze method) (pytabkit.models.training.lightning_modules.TabNNModule method)

VANILLA_MLP_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) VANILLA_MLP_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute) Variable (class in pytabkit.models.nn_models.base)

W

WeightedPrediction (class in pytabkit.models.alg_interfaces.ensemble_interfaces) WeightFitter (class in pytabkit.models.nn_models.nn) WeightLayer (class in pytabkit.models.nn_models.base)

WinsTableAnalyzer (class in pytabkit.bench.eval.evaluation) without_labels() (pytabkit.models.data.data.DictDataset method) write_mixed_raw_data() (in module pytabkit.bench.data.uci_file_ops) writeToFile() (in module pytabkit.models.utils)

X

xgb_class_ram (pytabkit.models.alg_interfaces.resource_params.ResourceParams attribute) (pytabkit.models.alg_interfaces.resource_params.ResourceParamsOld attribute) xgb_class_time (pytabkit.models.alg_interfaces.resource_params.ResourceParams attribute) (pytabkit.models.alg_interfaces.resource_params.ResourceParamsOld attribute) XGB_D (pytabkit.models.sklearn.default_params.DefaultParams attribute) XGB_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) XGB_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) XGB_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) XGB_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) XGB_HPO_TPE_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) XGB_HPO_TPE_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) XGB_PBB_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) XGB_PBB_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) XGB_TD_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) XGB_TD_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) XGB_TD_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute)

XGB_TD_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) XGBCustomMetric (class in pytabkit.models.alg_interfaces.xgboost_interfaces) XGBHyperoptAlgInterface (class in pytabkit.models.alg_interfaces.xgboost_interfaces) XGBHyperoptInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) XGBInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) XGBSklearnInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) XGBSklearnSubSplitInterface (class in pytabkit.models.alg_interfaces.xgboost_interfaces) XGBSubSplitInterface (class in pytabkit.models.alg_interfaces.xgboost_interfaces) XRFM_D_CLASS (pytabkit.models.sklearn.default_params.DefaultParams attribute) XRFM_D_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) XRFM_D_REG (pytabkit.models.sklearn.default_params.DefaultParams attribute) XRFM_D_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) XRFM_HPO_Classifier (class in pytabkit.models.sklearn.sklearn_interfaces) XRFM_HPO_Regressor (class in pytabkit.models.sklearn.sklearn_interfaces) xRFMInterfaceWrapper (class in pytabkit.bench.alg_wrappers.interface_wrappers) xRFMSubSplitInterface (class in pytabkit.models.alg_interfaces.xrfm_interfaces)

Y

y_pred (pytabkit.models.nn_models.tabr_context_freeze.TabrModelContextFreeze.ForwardOutput attribute)

Z

zero_wd_condition() (in module pytabkit.models.nn_models.tabr) (in module pytabkit.models.nn_models.tabr_context_freeze)

zeros_like() (pytabkit.bench.scheduling.resources.NodeResources static method)