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check_increasing — scikit-learn 1.8.0 doc...
2 , 3 , 4 , 5 ], [ 2 , 4 , 6 , 8 , 10 ] >>>...>>> y = [ 10 , 8 , 6 , 4 , 2 ] >>> check_increasing...scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html -
Datenspeicher-Crawl
2,タイトル 2,テスト2です。 3,タイトル 3,テスト3です。 4,タイトル...VALUES ( 'タイトル 2' , 'コンテンツ 2 です．' , '34.701909'...fess.codelibs.org/de/15.4/admin/dataconfig-guide.html -
root_mean_squared_error — scikit-learn 1....
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...>>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.html -
AdditiveChi2Sampler — scikit-learn 1.8.0 ...
sample_steps = 2 , sample_interval = None ) [source]...original space is transformed into 2*sample_steps-1 features, where...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html -
Decision Tree Regression — scikit-learn 1...
= "max_depth=2" , linewidth = 2 ) plt . plot ( X_test...DecisionTreeRegresso ( max_depth = 2 ) regr_2 = DecisionTreeRegresso...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html -
Plot the decision surface of decision trees tra...
2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ], [ 2 , 3 ]]): #...boundary ax = plt . subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
plot_multi_metric_evaluation.zip
range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2, re...ax.plot( [ X_axis[best_index], ] * 2, [0, best_score], linestyle="-.",...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
Classifier comparison — scikit-learn 1.8....
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state.... random . RandomState ( 2 ) X += 2 * rng . uniform ( size =...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
as_float_array — scikit-learn 1.8.0 docum...
2 , 2 ], dtype = np . int64 ) >>>...array ) array([0., 0., 1., 2., 2.]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html -
plot_classifier_comparison.rst.txt
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt