Metadata-Version: 2.1
Name: neptune-sklearn
Version: 0.9.3
Summary: Neptune.ai scikit-learn integration library
Home-page: https://neptune.ai/
Author: neptune.ai
Author-email: contact@neptune.ai
License: Apache License 2.0
Project-URL: Tracker, https://github.com/neptune-ai/neptune-sklearn/issues
Project-URL: Source, https://github.com/neptune-ai/neptune-sklearn
Project-URL: Documentation, https://docs.neptune.ai/integrations-and-supported-tools/model-training/sklearn
Description: # Neptune: sklearn integration
        
        See [the official docs](https://docs.neptune.ai/integrations-and-supported-tools/model-training/sklearn).
        
        Minimal example:
        
        ```python
        from sklearn.datasets import load_boston
        from sklearn.ensemble import RandomForestRegressor
        from sklearn.model_selection import train_test_split
        import neptune.new as neptune
        import neptune.new.integrations.sklearn as npt_utils
        
        run = neptune.init(project='common/sklearn-integration',
                           api_token='ANONYMOUS',
                           name='regression-example',
                           tags=['RandomForestRegressor', 'regression'])
        
        parameters = {'n_estimators': 70,
                      'max_depth': 7,
                      'min_samples_split': 3}
        
        
        rfr = RandomForestRegressor(**parameters)
        
        X, y = load_boston(return_X_y=True)
        X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20, random_state=28743)
        
        rfr.fit(X_train, y_train)
        
        run['rfr_summary'] = npt_utils.create_regressor_summary(rfr, X_train, X_test, y_train, y_test)
        ```
Keywords: MLOps,ML Experiment Tracking,ML Model Registry,ML Model Store,ML Metadata Store
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
Provides-Extra: all
