lale package

Subpackages

• lale.datasets package
  • Subpackages
    • lale.datasets.multitable package
      • Submodules
      • Module contents
    • lale.datasets.openml package
      • Submodules
      • Module contents
    • lale.datasets.uci package
      • Submodules
      • Module contents
  • Submodules
    • lale.datasets.data_schemas module
      • DataFrameWithSchema
      • NDArrayWithSchema
      • SeriesWithSchema
      • SparkDataFrameWithIndex
      • add_schema()
      • add_schema_adjusting_n_rows()
      • add_table_name()
      • csr_matrix_to_schema()
      • dataframe_to_schema()
      • dtype_to_schema()
      • forward_metadata()
      • get_index_name()
      • get_index_names()
      • get_table_name()
      • is_liac_arff()
      • is_list_tensor()
      • liac_arff_to_schema()
      • list_tensor_to_schema()
      • list_tensor_to_shape_and_dtype()
      • make_optional_schema()
      • ndarray_to_schema()
      • series_to_schema()
      • shape_and_dtype_to_schema()
      • spark_df_to_schema()
      • strip_schema()
      • to_schema()
      • torch_tensor_to_schema()
    • lale.datasets.movie_review module
      • load_movie_review()
    • lale.datasets.prefetch module
      • fetch_fairness_dbs()
      • main()
      • prefetch_data()
    • lale.datasets.sklearn_to_pandas module
      • boston_housing_df()
      • california_housing_df()
      • covtype_df()
      • digits_df()
      • load_iris_df()
    • lale.datasets.util module
      • load_boston()
      • pandas2spark()
  • Module contents
• lale.lib package
  • Subpackages
    • lale.lib.aif360 package
      • Submodules
      • Module contents
    • lale.lib.autogen package
      • Submodules
      • Module contents
    • lale.lib.category_encoders package
      • Submodules
      • Module contents
    • lale.lib.imblearn package
      • Submodules
      • Module contents
    • lale.lib.lale package
      • Submodules
      • Module contents
    • lale.lib.lightgbm package
      • Submodules
      • Module contents
    • lale.lib.rasl package
      • Submodules
      • Module contents
    • lale.lib.sklearn package
      • Submodules
      • Module contents
    • lale.lib.snapml package
      • Submodules
      • Module contents
    • lale.lib.xgboost package
      • Submodules
      • Module contents
  • Submodules
    • lale.lib.dataframe module
      • count()
      • get_columns()
      • make_series_concat()
      • make_series_distinct()
      • select_col()
  • Module contents
• lale.search package
  • Submodules
    • lale.search.PGO module
      • DefaultValue
      • FrequencyDistribution
      • freqsAsEnumValues()
      • freqsAsFloatValues()
      • freqsAsIntegerValues()
      • load_pgo_data()
      • load_pgo_file()
      • normalize_pgo_type()
      • remove_defaults_dict()
    • lale.search.lale_grid_search_cv module
      • HPValuetoGSValue()
      • SearchSpaceGridstoGSGrids()
      • SearchSpaceGridtoGSGrid()
      • SearchSpaceNumberToGSValues()
      • get_defaults_as_param_grid()
      • get_grid_search_parameter_grids()
      • get_lale_gridsearchcv_op()
      • get_parameter_grids()
      • gridsearchcv_grid_to_string()
      • gridsearchcv_grids_to_string()
    • lale.search.lale_hyperopt module
      • SearchSpaceHPExprVisitor
      • SearchSpaceHPStrVisitor
      • make_nested_hyperopt()
      • pgo_sample()
      • search_space_to_hp_expr()
      • search_space_to_hp_str()
      • search_space_to_str_for_comparison()
    • lale.search.lale_smac module
      • FakeNone
      • HPValuetoSMAC()
      • SearchSpaceGridtoSMAC()
      • SearchSpaceNumberToSMAC()
      • addSearchSpaceGrid()
      • addSearchSpaceGrids()
      • get_smac_space()
      • hp_grids_to_smac_cs()
      • lale_op_smac_tae()
      • lale_trainable_op_from_config()
      • smac_fixup_params()
    • lale.search.op2hp module
      • hyperopt_search_space()
    • lale.search.schema2search_space module
      • FreqsWrapper
      • OperatorSchemaError
      • SearchSpaceOperatorVisitor
      • add_sub_space()
      • asFreqs()
      • freqs_wrapper_lookup()
      • get_default()
      • op_to_search_space()
      • pgo_lookup()
    • lale.search.search_space module
      • SearchSpace
      • SearchSpaceArray
      • SearchSpaceBool
      • SearchSpaceConstant
      • SearchSpaceDict
      • SearchSpaceEmpty
      • SearchSpaceEnum
      • SearchSpaceError
      • SearchSpaceNumber
      • SearchSpaceObject
      • SearchSpaceOperator
      • SearchSpacePrimitive
      • SearchSpaceProduct
      • SearchSpaceSum
      • should_print_search_space()
    • lale.search.search_space_grid module
      • SearchSpaceToGridVisitor
      • get_search_space_grids()
      • op_to_search_space_grids()
      • search_space_grid_to_string()
      • search_space_grids_to_string()
      • search_space_to_grids()
  • Module contents
• lale.util package
  • Submodules
    • lale.util.Visitor module
      • Visitor
      • accept()
    • lale.util.VisitorMeta module
      • AbstractVisitorMeta
      • VisitorMeta
    • lale.util.VisitorPathError module
      • VisitorPathError
    • lale.util.batch_data_dictionary_dataset module
      • BatchDataDict
    • lale.util.hdf5_to_torch_dataset module
      • HDF5TorchDataset
    • lale.util.numpy_to_torch_dataset module
      • NumpyTorchDataset
      • numpy_collate_fn()
    • lale.util.numpy_torch_dataset module
      • NumpyTorchDataset
      • numpy_collate_fn()
    • lale.util.pandas_to_torch_dataset module
      • PandasTorchDataset
      • pandas_collate_fn()
    • lale.util.pandas_torch_dataset module
      • PandasTorchDataset
      • pandas_collate_fn()
  • Module contents

Submodules

• lale.docstrings module
  • set_docstrings()
• lale.expressions module
  • Expr
    • Expr.expr
  • asc()
  • astype()
  • collect_set()
  • count()
  • day_of_month()
  • day_of_week()
  • day_of_year()
  • desc()
  • distinct_count()
  • first()
  • hash()
  • hash_mod()
  • hour()
  • identity()
  • isnan()
  • isnotnan()
  • isnotnull()
  • isnull()
  • ite()
  • item()
  • max()
  • max_gap_to_cutoff()
  • mean()
  • median()
  • min()
  • minute()
  • mode()
  • month()
  • normalized_count()
  • normalized_sum()
  • recent()
  • recent_gap_to_cutoff()
  • replace()
  • string_indexer()
  • sum()
  • trend()
  • variance()
  • window_max()
  • window_max_trend()
  • window_mean()
  • window_mean_trend()
  • window_min()
  • window_min_trend()
  • window_variance()
  • window_variance_trend()
• lale.grammar module
  • Grammar
    • Grammar.get_params()
    • Grammar.input_schema_fit()
    • Grammar.is_classifier()
    • Grammar.is_supervised()
    • Grammar.sample()
    • Grammar.transform_schema()
    • Grammar.unfold()
    • Grammar.validate_schema()
  • NonTerminal
    • NonTerminal.get_params()
    • NonTerminal.input_schema_fit()
    • NonTerminal.is_classifier()
    • NonTerminal.is_supervised()
    • NonTerminal.transform_schema()
    • NonTerminal.validate_schema()
• lale.helpers module
  • GenSym
  • add_missing_values()
  • append_batch()
  • are_hyperparameters_equal()
  • arg_name()
  • assignee_name()
  • create_data_loader()
  • create_individual_op_using_reflection()
  • create_instance_from_hyperopt_search_space()
  • cross_val_score()
  • cross_val_score_track_trials()
  • data_to_json()
  • dict_without()
  • find_lale_wrapper()
  • fold_schema()
  • get_estimator_param_name_from_hyperparams()
  • get_name_and_index()
  • get_sklearn_estimator_name()
  • import_from_sklearn()
  • import_from_sklearn_pipeline()
  • instantiate_from_hyperopt_search_space()
  • is_empty_dict()
  • is_numeric_structure()
  • json_lookup()
  • make_array_index_name()
  • make_degen_indexed_name()
  • make_indexed_name()
  • make_nested_hyperopt_space()
  • ndarray_to_json()
  • nest_HPparam()
  • nest_HPparams()
  • nest_all_HPparams()
  • nest_choice_HPparam()
  • nest_choice_HPparams()
  • nest_choice_all_HPparams()
  • partition_sklearn_choice_params()
  • partition_sklearn_params()
  • split_with_schemas()
  • to_graphviz()
  • unnest_HPparams()
  • unnest_choice()
  • val_wrapper
    • val_wrapper.unwrap()
    • val_wrapper.unwrap_self()
  • with_fixed_estimator_name()
  • write_batch_output_to_file()
• lale.json_operator module
  • from_json()
  • json_op_kind()
  • to_json()
• lale.operator_wrapper module
  • get_lale_wrapper_modules()
  • register_lale_wrapper_modules()
  • wrap_imported_operators()
• lale.operators module
  • scikit-learn compatibility:
    • parameter path format:
  • BasePipeline
    • BasePipeline.edges()
    • BasePipeline.export_to_sklearn_pipeline()
    • BasePipeline.get_defaults()
    • BasePipeline.get_last()
    • BasePipeline.get_params()
    • BasePipeline.input_schema_fit()
    • BasePipeline.is_classifier()
    • BasePipeline.is_supervised()
    • BasePipeline.remove_last()
    • BasePipeline.set_params()
    • BasePipeline.steps
    • BasePipeline.steps_list()
    • BasePipeline.transform_schema()
    • BasePipeline.validate_schema()
  • IndividualOp
    • IndividualOp.MAX_FIX_DEPTH
    • IndividualOp.MAX_FIX_SUGGESTIONS
    • IndividualOp.class_name()
    • IndividualOp.documentation_url()
    • IndividualOp.enum
    • IndividualOp.frozen_hyperparams()
    • IndividualOp.get_defaults()
    • IndividualOp.get_forwards()
    • IndividualOp.get_param_dist()
    • IndividualOp.get_param_ranges()
    • IndividualOp.get_params()
    • IndividualOp.get_schema()
    • IndividualOp.get_tags()
    • IndividualOp.has_method()
    • IndividualOp.has_schema()
    • IndividualOp.has_tag()
    • IndividualOp.hyperparam_schema()
    • IndividualOp.hyperparams()
    • IndividualOp.hyperparams_all()
    • IndividualOp.impl
    • IndividualOp.impl_class
    • IndividualOp.input_schema_decision_function()
    • IndividualOp.input_schema_fit()
    • IndividualOp.input_schema_partial_fit()
    • IndividualOp.input_schema_predict()
    • IndividualOp.input_schema_predict_log_proba()
    • IndividualOp.input_schema_predict_proba()
    • IndividualOp.input_schema_score_samples()
    • IndividualOp.input_schema_transform()
    • IndividualOp.input_schema_transform_X_y()
    • IndividualOp.is_classifier()
    • IndividualOp.is_regressor()
    • IndividualOp.is_supervised()
    • IndividualOp.is_transformer()
    • IndividualOp.output_schema_decision_function()
    • IndividualOp.output_schema_predict()
    • IndividualOp.output_schema_predict_log_proba()
    • IndividualOp.output_schema_predict_proba()
    • IndividualOp.output_schema_score_samples()
    • IndividualOp.output_schema_transform()
    • IndividualOp.output_schema_transform_X_y()
    • IndividualOp.reduced_hyperparams()
    • IndividualOp.shallow_impl
    • IndividualOp.transform_schema()
    • IndividualOp.validate_schema()
  • Operator
    • Operator.class_name()
    • Operator.classes_
    • Operator.clone()
    • Operator.coef_
    • Operator.diff()
    • Operator.feature_importances_
    • Operator.get_defaults()
    • Operator.get_forwards()
    • Operator.get_param_dist()
    • Operator.get_param_ranges()
    • Operator.get_params()
    • Operator.input_schema_fit()
    • Operator.is_classifier()
    • Operator.is_frozen_trainable()
    • Operator.is_frozen_trained()
    • Operator.is_supervised()
    • Operator.n_classes_
    • Operator.name()
    • Operator.pretty_print()
    • Operator.replace()
    • Operator.to_json()
    • Operator.to_lale()
    • Operator.transform_schema()
    • Operator.validate_schema()
    • Operator.visualize()
    • Operator.with_params()
  • OperatorChoice
    • OperatorChoice.fit()
    • OperatorChoice.get_defaults()
    • OperatorChoice.get_params()
    • OperatorChoice.input_schema_fit()
    • OperatorChoice.is_classifier()
    • OperatorChoice.is_frozen_trainable()
    • OperatorChoice.is_supervised()
    • OperatorChoice.set_params()
    • OperatorChoice.steps
    • OperatorChoice.steps_list()
    • OperatorChoice.transform_schema()
    • OperatorChoice.validate_schema()
  • PlannedIndividualOp
    • PlannedIndividualOp.auto_configure()
    • PlannedIndividualOp.customize_schema()
    • PlannedIndividualOp.free_hyperparams()
    • PlannedIndividualOp.freeze_trainable()
    • PlannedIndividualOp.is_frozen_trainable()
  • PlannedOperator
    • PlannedOperator.auto_configure()
  • PlannedPipeline
    • PlannedPipeline.auto_configure()
    • PlannedPipeline.is_frozen_trainable()
    • PlannedPipeline.is_frozen_trained()
    • PlannedPipeline.remove_last()
  • TrainableIndividualOp
    • TrainableIndividualOp.convert_to_trained()
    • TrainableIndividualOp.customize_schema()
    • TrainableIndividualOp.decision_function()
    • TrainableIndividualOp.fit()
    • TrainableIndividualOp.free_hyperparams()
    • TrainableIndividualOp.freeze_trainable()
    • TrainableIndividualOp.freeze_trained()
    • TrainableIndividualOp.get_pipeline()
    • TrainableIndividualOp.input_schema_fit()
    • TrainableIndividualOp.partial_fit()
    • TrainableIndividualOp.predict()
    • TrainableIndividualOp.predict_log_proba()
    • TrainableIndividualOp.predict_proba()
    • TrainableIndividualOp.score()
    • TrainableIndividualOp.score_samples()
    • TrainableIndividualOp.set_params()
    • TrainableIndividualOp.summary()
    • TrainableIndividualOp.transform()
    • TrainableIndividualOp.transform_schema()
  • TrainableOperator
    • TrainableOperator.fit()
    • TrainableOperator.fit_transform()
    • TrainableOperator.freeze_trainable()
    • TrainableOperator.is_transformer()
  • TrainablePipeline
    • TrainablePipeline.convert_to_trained()
    • TrainablePipeline.decision_function()
    • TrainablePipeline.fit()
    • TrainablePipeline.freeze_trainable()
    • TrainablePipeline.freeze_trained()
    • TrainablePipeline.is_transformer()
    • TrainablePipeline.partial_fit()
    • TrainablePipeline.predict()
    • TrainablePipeline.predict_log_proba()
    • TrainablePipeline.predict_proba()
    • TrainablePipeline.remove_last()
    • TrainablePipeline.score()
    • TrainablePipeline.score_samples()
    • TrainablePipeline.transform()
  • TrainedIndividualOp
    • TrainedIndividualOp.customize_schema()
    • TrainedIndividualOp.decision_function()
    • TrainedIndividualOp.fit()
    • TrainedIndividualOp.freeze_trainable()
    • TrainedIndividualOp.freeze_trained()
    • TrainedIndividualOp.get_pipeline()
    • TrainedIndividualOp.is_frozen_trained()
    • TrainedIndividualOp.partial_fit()
    • TrainedIndividualOp.predict()
    • TrainedIndividualOp.predict_log_proba()
    • TrainedIndividualOp.predict_proba()
    • TrainedIndividualOp.score()
    • TrainedIndividualOp.score_samples()
    • TrainedIndividualOp.summary()
    • TrainedIndividualOp.transform()
    • TrainedIndividualOp.transform_X_y()
  • TrainedOperator
    • TrainedOperator.decision_function()
    • TrainedOperator.freeze_trained()
    • TrainedOperator.predict()
    • TrainedOperator.predict_log_proba()
    • TrainedOperator.predict_proba()
    • TrainedOperator.score()
    • TrainedOperator.score_samples()
    • TrainedOperator.transform()
  • TrainedPipeline
    • TrainedPipeline.decision_function()
    • TrainedPipeline.freeze_trainable()
    • TrainedPipeline.partial_fit()
    • TrainedPipeline.predict()
    • TrainedPipeline.predict_log_proba()
    • TrainedPipeline.predict_proba()
    • TrainedPipeline.remove_last()
    • TrainedPipeline.score()
    • TrainedPipeline.score_samples()
    • TrainedPipeline.transform()
    • TrainedPipeline.transform_X_y()
    • TrainedPipeline.transform_with_batches()
  • clone_op()
  • customize_schema()
  • get_available_estimators()
  • get_available_operators()
  • get_available_transformers()
  • get_lib_schemas()
  • get_op_from_lale_lib()
  • make_choice()
  • make_operator()
  • make_pipeline()
  • make_pipeline_graph()
  • make_pretrained_operator()
  • make_union()
  • make_union_no_concat()
  • with_structured_params()
  • wrap_operator()
• lale.pretty_print module
  • hyperparams_to_string()
  • ipython_display()
  • json_to_string()
  • to_string()
• lale.schema2enums module
  • DiscoveredEnums
  • accumulateDiscoveredEnumsToPythonEnums()
  • addDictAsFields()
  • addSchemaEnumsAsFields()
  • discoveredEnumsToPythonEnums()
  • schemaToDiscoveredEnums()
  • schemaToPythonEnums()
• lale.schema_ranges module
  • SchemaRange
    • SchemaRange.diff()
    • SchemaRange.fromSchema()
    • SchemaRange.fromSchemaForOptimizer()
    • SchemaRange.is_empty()
    • SchemaRange.is_empty2()
    • SchemaRange.point()
    • SchemaRange.remove_point()
    • SchemaRange.to_schema_with_optimizer()
• lale.schema_simplifier module
  • enumValues()
  • filterForOptimizer()
  • findRelevantFields()
  • hasAllOperatorSchemas()
  • hasAnyOperatorSchemas()
  • impossible()
  • liftAllOf()
  • liftAnyOf()
  • narrowSimplifyAndFilter()
  • narrowToGivenRelevantFields()
  • narrowToRelevantConstraints()
  • narrowToRelevantFields()
  • set_with_str_for_keys
    • set_with_str_for_keys.difference()
    • set_with_str_for_keys.intersection()
    • set_with_str_for_keys.union()
  • simplify()
  • simplifyAll()
  • simplifyAny()
  • simplifyNot()
  • simplifyNot_()
  • toAllOfList()
  • toAnyOfList()
• lale.schema_utils module
  • atomize_schema_enumerations()
  • check_operators_schema()
  • forOptimizer()
  • getExclusiveMaximum()
  • getExclusiveMinimum()
  • getForOptimizer()
  • getMaximum()
  • getMinimum()
  • has_operator()
  • isForOptimizer()
  • is_false_schema()
  • is_lale_any_schema()
  • is_true_schema()
  • makeAllOf()
  • makeAnyOf()
  • makeOneOf()
  • makeSingleton_()
• lale.schemas module
  • AllOf
  • AnyOf
  • Array
  • Bool
  • Enum
  • Float
  • Int
  • JSON
  • Not
  • Null
  • Object
  • Schema
    • Schema.schema
    • Schema.set()
  • String
  • Undefined
• lale.settings module
  • set_disable_data_schema_validation()
  • set_disable_hyperparams_schema_validation()
• lale.sklearn_compat module
  • make_sklearn_compat()
  • sklearn_compat_clone()
• lale.type_checking module
  • SubschemaError
  • always_validate_schema()
  • get_default_schema()
  • get_hyperparam_defaults()
  • get_hyperparam_names()
  • has_data_constraints()
  • is_schema()
  • is_subschema()
  • join_schemas()
  • replace_data_constraints()
  • validate_is_schema()
  • validate_method()
  • validate_schema()
  • validate_schema_directly()
• lale.visualize module
  • json_to_graphviz()

Module contents