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  1. MLPRegressor — scikit-learn 1.6.0 documentation

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    X_test , y_train , y_test = train_test_split ( X ,...-290...]) >>> regr . score ( X_test , y_test ) 0.98... fit ( X , y )...
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html
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    Fri Dec 20 11:14:14 UTC 2024
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  2. MLPRegressor — scikit-learn 1.7.dev0 documentation

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    X_test , y_train , y_test = train_test_split ( X ,...-290...]) >>> regr . score ( X_test , y_test ) 0.98... fit ( X , y )...
    scikit-learn.org/dev/modules/generated/sklearn.neural_network.MLPRegressor.html
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    Mon Dec 09 18:03:46 UTC 2024
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