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label_binarize — scikit-learn 1.7.2 documentation
2 , 4 , 6 ]) array([[1, 0, 0, 0],...6 ], classes = [ 1 , 6 , 4 , 2 ]) array([[1, 0, 0, 0], [0, 1,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html -
Single estimator versus bagging: bias-variance ...
- ( x ** 2 )) + 1.5 * np . exp ( - (( x - 2 ) ** 2 )) def generate...{0} : {1:.4f} (error) = {2:.4f} (bias^2) " " + {3:.4f} (var) +...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
hinge_loss — scikit-learn 1.7.2 documentation
([[ - 2 ], [ 3 ], [ 0.5 ]]) >>> pred_decision array([-2.18, 2.36,...[ 1 ], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
NOT 検索
たとえば、「検索語1」が含まれるが「検索語2」を含まないドキュメントを検索したい場合は以下のように入力して検索します。 検索語1 NOT 検索語2...fess.codelibs.org/ja/15.3/user/search-not.html -
Release Highlights for scikit-learn 1.5 — sciki...
nothing; each false negative costs 2; each false positive costs 0.1...."all" ) . ravel () return tp - 2 * fn - 0.1 * fp print ( "Untuned...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
LedoitWolf — scikit-learn 1.7.2 documentation
2 ], ... [ .2 , .8 ]]) >>> np . random...Multivariate Analysis, Volume 88, Issue 2, February 2004, pages 365-411....scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
Post pruning decision trees with cost complexit...
subplots ( 2 , 1 ) ax [ 0 ] . plot ( ccp_alphas...scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html -
Windows へのインストール (詳細手順)
2 C : \ opensearch - 3.3.2 > bin \ opensearch...analysis - fess : 3.3.2 C : \ opensearch - 3.3.2 > bin \ opensearch...fess.codelibs.org/ja/15.3/install/install-windows.html -
make_gaussian_quantiles — scikit-learn 1.7.2 do...
int64(2), np.int64(0), np.int64(1), np.int64(0), np.int64(2)] Gallery...n_samples = 100 , n_features = 2 , n_classes = 3 , shuffle = True...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
TruncatedSVD — scikit-learn 1.7.2 documentation
TruncatedSVD ( n_components = 2 , * , algorithm = 'randomized'...Parameters : n_components int, default=2 Desired dimensionality of output...scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html