sklearntools


Namesklearntools JSON
Version 1.2.7 PyPI version JSON
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home_pagehttps://gitee.com/summry/sklearntools
SummaryTools of sklearn. Grid Search with multiprocess
upload_time2024-12-13 01:12:50
maintainerNone
docs_urlNone
authorsummy
requires_python>=3.6
licenseNone
keywords sklearn grid search machine learning
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            Usage Sample
''''''''''''

.. code:: python

    import numpy as np
    from sklearn.ensemble import RandomForestClassifier
    from sklearn.model_selection import train_test_split
    from sklearntools import train_evaluate, search_model_params

    if __name__ == '__main__':
         X, y = np.arange(20).reshape((10, 2)), range(10)
         X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)

         model = RandomForestClassifier(n_estimators=837, bootstrap=False)
         train_evaluate(model, X_train, X_test, y_train, y_test)

         param_grid = {'n_estimators': np.arange(800, 820, 1), 'bootstrap': [False, True]}
	     search_model_params(RandomForestClassifier, X_train, X_test, y_train, y_test, param_grid, result_num=3)



            

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