pypi.org : automl

Automated machine learning for production and analytics

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purl: pkg:pypi/automl
Keywords: machine learning , data science , automated machine learning , regressor , regressors , regression , classification , classifiers , classifier , estimators , predictors , XGBoost , Random Forest , sklearn , scikit-learn , analytics , analysts , coefficients , feature importancesanalytics , artificial intelligence , subpredictors , ensembling , stacking , blending , feature engineering , feature extraction , feature selection , production , pandas , dataframes , machinejs , deep learning , tensorflow , deeplearning , lightgbm , gradient boosting , gbm , keras , production ready , test coverage , artificial-intelligence , automated-machine-learning , automl , data-science , deep-learning , feature-engineering , gradient-boosting , hyperparameter-optimization , machine-learning , machine-learning-library , machine-learning-pipelines , production-ready , python , xgboost
License: MIT
Latest release: over 7 years ago
First release: over 8 years ago
Dependent repositories: 9
Downloads: 608 last month
Stars: 1,653 on GitHub
Forks: 311 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 8 days ago

• Readme
• Versions 19
• Dependent Packages 0
• Maintainers 1
• Related Packages 1