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→Sklearn Grid search: использование
Out:
GridSearchCV(cv=StratifiedShuffleSplit(n_splits=10, random_state=0, test_size=0.2, train_size=None), error_score=nan, estimator=SGDClassifier(alpha=0.0001, average=False, class_weight=None, early_stopping=False, epsilon=0.1, eta0=0.0, fit_intercept=True, l1_ratio=0.15, learning_rate='optimal', loss='hinge', max_iter=1000, n_iter_no_change=5, n_jobs=None,
penalty='l2...
'eta0': array([1.00000000e-05, 1.64285714e-05, 2.28571429e-05, 2.92857143e-05, 3.57142857e-05, 4.21428571e-05, 4.85714286e-05, 5.50000000e-05, 6.14285714e-05, 6.78571429e-05, 7.42857143e-05, 8.07142857e-05, 8.71428571e-05, 9.35714286e-05, 1.00000000e-04]),
'learning_rate': ['optimal', 'constant', 'invscaling'],
'max_iter': array([5, 6, 7, 8, 9])},