mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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Download Latest Version (.zip)- docs.yml
- run-tests.yml
- smoke-pypi-install-train.yml
- test-installation-with-conda.yml
- test-installation-with-pip-on-windows.yml
- algorithms.md
- apps.md
- automl.md
- custom-eval-metric.md
- explain.md
- features_selection.md
- golden_features.md
- modes.md
- preprocessing.md
- save-and-load-models.md
- stacking-ensemble.md
- binary-classification-age.png
- binary-classification-automl-leaderboard.png
- binary-classification-multiple-sensitive-features-leaderboard.png
- binary-classification-performance-vs-fairness.png
- binary-classification-sex.png
- ensemble_json.png
- ensemble_stack.png
- favicon.png
- multiclass-classification-automl-leaderboard-fairness.png
- multiclass-fairness-report.gif
- regression-fairness-report.gif
- stack_process_flow.png
- extra.css
- app-classification.md
- app-regression.md
- fairness-binary-classification.md
- fairness-multiclass-classification.md
- fairness-regression.md
- random.md
- titanic.md
- api.md
- contributing.md
- get_help.md
- help.md
- index.md
- roadmap.md
- mkdocs.yml
- README.md
- basic_run.ipynb
- Titanic.ipynb
- binary_classifier.py
- binary_classifier_adult_fairness.py
- binary_classifier_ensemble.py
- binary_classifier_marketing.py
- binary_classifier_random.py
- binary_classifier_Titanic.py
- binary_classifier_Titanic_app.py
- multi_class_classifier.py
- multi_class_classifier_digits.py
- multi_class_classifier_MNIST.py
- multi_class_drug_fairness.py
- regression.py
- regression_acs_fairness.py
- regression_crime_fairness.py
- regression_housing_fairness.py
- regression_law_school_fairness.py
- report_structured_classification.py
- report_structured_fairness.py
- report_structured_regression.py
- tabular_mar_2021.py
- __init__.py
- algorithm.py
- baseline.py
- catboost.py
- decision_tree.py
- extra_trees.py
- factory.py
- knn.py
- lightgbm.py
- linear.py
- nn.py
- random_forest.py
- registry.py
- sklearn.py
- xgboost.py
- __init__.py
- generator.py
- local_runner.py
- metadata.py
- publisher.py
- templates.py
- __init__.py
- callback.py
- callback_list.py
- early_stopping.py
- learner_time_constraint.py
- max_iters_constraint.py
- metric_logger.py
- terminate_on_nan.py
- total_time_constraint.py
- __init__.py
- certificate.py
- metrics.py
- optimization.py
- plots.py
- report.py
- utils.py
- __init__.py
- datetime_transformer.py
- encoding_selector.py
- exclude_missing_target.py
- goldenfeatures_transformer.py
- kmeans_transformer.py
- label_binarizer.py
- label_encoder.py
- preprocessing.py
- preprocessing_categorical.py
- preprocessing_missing.py
- preprocessing_utils.py
- scale.py
- text_transformer.py
- __init__.py
- catboost.py
- extra_trees.py
- knn.py
- lightgbm.py
- nn.py
- random_forest.py
- tuner.py
- xgboost.py
- __init__.py
- data_info.py
- hill_climbing.py
- mljar_tuner.py
- preprocessing_tuner.py
- random_parameters.py
- time_controller.py
- __init__.py
- additional_metrics.py
- additional_plots.py
- automl_plots.py
- common.py
- config.py
- constants.py
- data_validation.py
- importance.py
- jsonencoder.py
- leaderboard_plots.py
- learning_curves.py
- metric.py
- report_structured.py
- shap.py
- subsample.py
- utils.py
- __init__.py
- validation_step.py
- validator_base.py
- validator_custom.py
- validator_kfold.py
- validator_split.py
- __init__.py
- automl.py
- base_automl.py
- ensemble.py
- exceptions.py
- model_framework.py
- __init__.py
- check_automl_with_regression.py
- run_ml_tests.py
- run_performance_tests.py
- cities.json
- crimedata.csv
- README.md
- Drug_Consumption.csv
- README.md
- bar_pass_prediction.csv
- README.md
- Data_FinalProject.csv
- test_with_Survived.csv
- train.csv
- 179.csv
- 24.csv
- 3.csv
- 31.csv
- 38.csv
- 44.csv
- 720.csv
- 737.csv
- acs_income_1k.csv
- adult_missing_values_missing_target_500rows.csv
- boston_housing.csv
- housing_regression_missing_values_missing_target.csv
- iris_classes_missing_values_missing_target.csv
- iris_missing_values_missing_target.csv
- __init__.py
- test_baseline.py
- test_catboost.py
- test_decision_tree.py
- test_extra_trees.py
- test_factory.py
- test_knn.py
- test_lightgbm.py
- test_linear.py
- test_nn.py
- test_random_forest.py
- test_registry.py
- test_xgboost.py
- __init__.py
- test_adjust_validation.py
- test_automl.py
- test_automl_app.py
- test_automl_init.py
- test_automl_local_app.py
- test_automl_publish_app.py
- test_automl_report.py
- test_automl_sample_weight.py
- test_automl_time_constraints.py
- test_data_types.py
- test_dir_change.py
- test_explain_levels.py
- test_golden_features.py
- test_handle_imbalance.py
- test_integration.py
- test_joblib_version.py
- test_models_needed_for_predict.py
- test_prediction_after_load.py
- test_repeated_validation.py
- test_restore.py
- test_stack_models_constraints.py
- test_targets.py
- test_update_errors_report.py
- __init__.py
- test_total_time_constraint.py
- __init__.py
- test_save_load.py
- __init__.py
- test_binary_classification.py
- test_multi_class_classification.py
- test_regression.py
- __init__.py
- disable_eda.py
- test_categorical_integers.py
- test_datetime_transformer.py
- test_encoding_selector.py
- test_exclude_missing.py
- test_goldenfeatures_transformer.py
- test_label_binarizer.py
- test_label_encoder.py
- test_preprocessing.py
- test_preprocessing_missing.py
- test_preprocessing_utils.py
- test_scale.py
- test_text_transformer.py
- __init__.py
- test_hill_climbing.py
- test_time_controller.py
- test_tuner.py
- __init__.py
- test_automl_plots.py
- test_compute_additional_metrics.py
- test_importance.py
- test_learning_curves.py
- test_metric.py
- test_shap.py
- test_subsample.py
- __init__.py
- test_validator_kfold.py
- test_validator_split.py
- __init__.py
- conftest.py
- README.md
- .gitignore
- CITATION
- LICENSE
- MANIFEST.in
- pytest.ini
- README.md
- requirements.txt
- requirements_dev.txt
- setup.py
# Installation Guide
git clone https://github.com/mljar/mljar-supervised
Downloads the entire project code from GitHub to your computer.
cd mljar-supervised
Moves into the project folder you just downloaded.
2. Official Install Script
Easy Recommended- Python 3 Python is required to use pip.
pip install mljar-supervised
Installs the package published on PyPI directly β no need to clone the source.
pip install -q -U git+https://github.com/mljar/mljar-supervised.git@master
Installs the package published on PyPI directly β no need to clone the source.
Pulled directly from this repo's README.
3. Python
Easypip install mljar-supervised
Installs the package published on PyPI directly β no need to clone the source.
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
pip install -r requirements_dev.txt
Installs the Python libraries listed in requirements.txt (or similar).
RUN apt-get install -y build-essential python3-pip python3-dev
Type this command into your terminal and run it.
RUN pip3 -q install pip --upgrade
Type this command into your terminal and run it.
Pulled directly from this repo's README.
