lale
Library for Semi-Automated Data Science
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Download Latest Version (.zip)- build.yml
- release.yml
- fairness_patterns.png
- lale_logo.jpg
- operator_classes.png
- repositories.png
- conf.py
- faq.rst
- index.rst
- installation.rst
- Makefile
- papers.rst
- README-cn.md
- README-de.md
- README-fa.md
- README-fr.md
- requirements.txt
- 2019-0327-portability.jpg
- 2019-0327-terminology.jpg
- 2019-0327-value.jpg
- 2019-0717-four-values.jpg
- 2019-1105-bindings.png
- 2019-1105-interop.png
- 2019-1105-search-spaces.png
- 2019-1105-semi-automated.png
- 2019-1105-summary.png
- 2019-1105-three-values.png
- 2019-1208-loops.png
- 01_intro.ipynb
- 02_total.ipynb
- 03_custom.ipynb
- 04_imbalance.ipynb
- 05_bias.ipynb
- 06_multobj.ipynb
- 07_multitab.ipynb
- 08_newops.ipynb
- 09_compat.ipynb
- 10_schemas.ipynb
- 11_directions.ipynb
- README.md
- readthedocs_pca.png
- workflow_enc_dec.png
- workflow_gradual.png
- workflow_manual.png
- workflow_total.png
- demo_aif360.ipynb
- demo_auto_pipeline.ipynb
- demo_column_transformer.ipynb
- demo_dynamic_schemas.ipynb
- demo_fairness_datasets.ipynb
- demo_grammars.ipynb
- demo_help_and_errors.ipynb
- demo_imbalanced_learn.ipynb
- demo_pipeline_crossval.ipynb
- demo_pipeline_dags.ipynb
- demo_pipeline_hyperopt.ipynb
- demo_task_graphs.ipynb
- demo_top_k_voting_classifier.ipynb
- docs_guide_for_sklearn_users.ipynb
- docs_new_operators.ipynb
- README.md
- talk_2019-1105-lale.ipynb
- talk_2020-0124-lale.ipynb
- talk_2020-0302-lale.ipynb
- talk_2020-0327-lale.ipynb
- talk_2020-0712-lale.ipynb
- rt-polaritydata.tar.gz
- __init__.py
- fetch_datasets.py
- util.py
- __init__.py
- openml_datasets.py
- __init__.py
- uci_datasets.py
- __init__.py
- data_schemas.py
- movie_review.py
- prefetch.py
- sklearn_to_pandas.py
- util.py
- __init__.py
- _mystic_util.py
- _suppress_aif360_warnings.py
- adversarial_debiasing.py
- bagging_orbis_classifier.py
- calibrated_eq_odds_postprocessing.py
- datasets.py
- disparate_impact_remover.py
- eq_odds_postprocessing.py
- gerry_fair_classifier.py
- lfr.py
- meta_fair_classifier.py
- optim_preproc.py
- orbis.py
- prejudice_remover.py
- protected_attributes_encoder.py
- README.md
- redacting.py
- reject_option_classification.py
- reweighing.py
- util.py
- __init__.py
- additive_chi2_sampler.py
- ard_regression.py
- bayesian_ridge.py
- bernoulli_nb.py
- bernoulli_rbm.py
- binarizer.py
- birch.py
- calibrated_classifier_cv.py
- cca.py
- complement_nb.py
- dictionary_learning.py
- elastic_net.py
- elastic_net_cv.py
- factor_analysis.py
- fast_ica.py
- gaussian_process_classifier.py
- gaussian_process_regressor.py
- gaussian_random_projection.py
- huber_regressor.py
- incremental_pca.py
- k_bins_discretizer.py
- kernel_pca.py
- kernel_ridge.py
- label_binarizer.py
- label_encoder.py
- label_propagation.py
- label_spreading.py
- lars.py
- lars_cv.py
- lasso.py
- lasso_cv.py
- lasso_lars.py
- lasso_lars_cv.py
- lasso_lars_ic.py
- latent_dirichlet_allocation.py
- linear_discriminant_analysis.py
- locally_linear_embedding.py
- logistic_regression_cv.py
- max_abs_scaler.py
- mini_batch_dictionary_learning.py
- mini_batch_k_means.py
- mini_batch_sparse_pca.py
- mlp_regressor.py
- multi_label_binarizer.py
- multi_task_elastic_net.py
- multi_task_elastic_net_cv.py
- multi_task_lasso.py
- multi_task_lasso_cv.py
- nearest_centroid.py
- nu_svc.py
- nu_svr.py
- orthogonal_matching_pursuit.py
- orthogonal_matching_pursuit_cv.py
- passive_aggressive_regressor.py
- perceptron.py
- pls_canonical.py
- pls_regression.py
- plssvd.py
- power_transformer.py
- radius_neighbors_classifier.py
- radius_neighbors_regressor.py
- random_trees_embedding.py
- ransac_regressor.py
- rbf_sampler.py
- README.md
- ridge_classifier_cv.py
- ridge_cv.py
- skewed_chi2_sampler.py
- sparse_pca.py
- sparse_random_projection.py
- theil_sen_regressor.py
- transformed_target_regressor.py
- truncated_svd.py
- __init__.py
- hashing_encoder.py
- target_encoder.py
- __init__.py
- _common_schemas.py
- adasyn.py
- all_knn.py
- base_resampler.py
- borderline_smote.py
- condensed_nearest_neighbour.py
- edited_nearest_neighbours.py
- instance_hardness_threshold.py
- random_over_sampler.py
- random_under_sampler.py
- README.md
- repeated_edited_nearest_neighbours.py
- smote.py
- smoteenn.py
- smoten.py
- smotenc.py
- svm_smote.py
- __init__.py
- auto_pipeline.py
- both.py
- concat_features.py
- grid_search_cv.py
- halving_grid_search_cv.py
- hyperopt.py
- identity_wrapper.py
- no_op.py
- observing.py
- optimize_last.py
- optimize_suffix.py
- README.md
- sample_based_voting.py
- smac.py
- tee.py
- time_series_transformer.py
- topk_voting_classifier.py
- __init__.py
- lgbm_classifier.py
- lgbm_regressor.py
- README.md
- __init__.py
- _eval_pandas_df.py
- _eval_spark_df.py
- _util.py
- aggregate.py
- alias.py
- batched_bagging_classifier.py
- batching.py
- concat_features.py
- convert.py
- datasets.py
- filter.py
- functions.py
- group_by.py
- hashing_encoder.py
- join.py
- map.py
- metrics.py
- min_max_scaler.py
- monoid.py
- one_hot_encoder.py
- orderby.py
- ordinal_encoder.py
- project.py
- relational.py
- scan.py
- scores.py
- select_k_best.py
- simple_imputer.py
- sort_index.py
- spark_explainer.py
- split_xy.py
- standard_scaler.py
- target_encoder.py
- task_graphs.py
- __init__.py
- _common_schemas.py
- ada_boost_classifier.py
- ada_boost_regressor.py
- bagging_classifier.py
- bagging_regressor.py
- column_transformer.py
- decision_tree_classifier.py
- decision_tree_regressor.py
- dummy_classifier.py
- dummy_regressor.py
- extra_trees_classifier.py
- extra_trees_regressor.py
- feature_agglomeration.py
- fit_spec_proxy.py
- function_transformer.py
- gaussian_nb.py
- gradient_boosting_classifier.py
- gradient_boosting_regressor.py
- isolation_forest.py
- isomap.py
- k_means.py
- k_neighbors_classifier.py
- k_neighbors_regressor.py
- linear_regression.py
- linear_svc.py
- linear_svr.py
- logistic_regression.py
- min_max_scaler.py
- missing_indicator.py
- mlp_classifier.py
- multi_output_regressor.py
- multinomial_nb.py
- nmf.py
- normalizer.py
- nystroem.py
- one_hot_encoder.py
- ordinal_encoder.py
- passive_aggressive_classifier.py
- pca.py
- perceptron.py
- pipeline.py
- polynomial_features.py
- quadratic_discriminant_analysis.py
- quantile_transformer.py
- random_forest_classifier.py
- random_forest_regressor.py
- rfe.py
- ridge.py
- ridge_classifier.py
- robust_scaler.py
- select_k_best.py
- sgd_classifier.py
- sgd_regressor.py
- simple_imputer.py
- stacking_classifier.py
- stacking_regressor.py
- stacking_utils.py
- standard_scaler.py
- svc.py
- svr.py
- target_encoder.py
- tfidf_vectorizer.py
- variance_threshold.py
- voting_classifier.py
- voting_regressor.py
- __init__.py
- batched_tree_ensemble_classifier.py
- batched_tree_ensemble_regressor.py
- README.md
- snap_boosting_machine_classifier.py
- snap_boosting_machine_regressor.py
- snap_decision_tree_classifier.py
- snap_decision_tree_regressor.py
- snap_linear_regression.py
- snap_logistic_regression.py
- snap_random_forest_classifier.py
- snap_random_forest_regressor.py
- snap_svm_classifier.py
- utils.py
- __init__.py
- _common_schemas.py
- README.md
- xgb_classifier.py
- xgb_regressor.py
- __init__.py
- _common_schemas.py
- dataframe.py
- __init__.py
- lale_grid_search_cv.py
- lale_hyperopt.py
- lale_smac.py
- op2hp.py
- PGO.py
- schema2search_space.py
- search_space.py
- search_space_grid.py
- __init__.py
- batch_data_dictionary_dataset.py
- hdf5_to_torch_dataset.py
- numpy_to_torch_dataset.py
- numpy_torch_dataset.py
- pandas_to_torch_dataset.py
- pandas_torch_dataset.py
- Visitor.py
- VisitorMeta.py
- VisitorPathError.py
- __init__.py
- docstrings.py
- expressions.py
- grammar.py
- helpers.py
- json_operator.py
- operator_wrapper.py
- operators.py
- pretty_print.py
- py.typed
- schema2enums.py
- schema_ranges.py
- schema_simplifier.py
- schema_utils.py
- schemas.py
- settings.py
- sklearn_compat.py
- type_checking.py
- visualize.py
- 2019-0529-lale.pdf
- 2019-0529-lale.pptx
- 2019-1105-lale.pdf
- 2019-1105-lale.pptx
- 2019-1208-lale.pptx
- 2019-1209-lale-ibm-pl-day.pdf
- 2019-1209-lale-ibm-pl-day.pptx
- 2020-0409-lale.pdf
- 2020-0409-lale.pptx
- 2020-0712-lale.pdf
- 2020-0712-lale.pptx
- 2020-0824-lale.pdf
- 2020-0903-lale.pdf
- 2021-1209-lale.pdf
- 2021-1209-lale.pptx
- 2022-0816-lale.pptx
- 2022-1109-pydata-talk.pdf
- fairness_patterns.pptx
- operator_classes.pptx
- repositories.pptx
- terminology.pdf
- terminology.pptx
- __init__.py
- lale-pgo-example.json
- mock_custom_operators.py
- mock_module.py
- test_aif360.py
- test_aif360_ensembles.py
- test_autogen_lib.py
- test_category_encoders.py
- test_core_classifiers.py
- test_core_misc.py
- test_core_pipeline.py
- test_core_regressors.py
- test_core_transformers.py
- test_custom_schemas.py
- test_grammar.py
- test_halving_gridsearchcv.py
- test_interoperability.py
- test_json_pretty_viz.py
- test_nlp_operators.py
- test_notebooks.py
- test_optimizers.py
- test_pgo.py
- test_pipeline.py
- test_relational.py
- test_relational_from_sklearn_manual.py
- test_relational_sklearn.py
- test_replace.py
- test_sklearn_compat.py
- test_snapml.py
- test_type_checking.py
- .flake8
- .gitignore
- .isort.cfg
- .pre-commit-config.yaml
- .readthedocs.yml
- .yamllint
- bandit.yaml
- CONTRIBUTING.md
- DCO1.1.txt
- Dockerfile
- LICENSE.txt
- Makefile
- mypy.ini
- pylintrc
- pyproject.toml
- pyrightconfig.json
- README.md
- setup.py
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