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Receiver Operating Characteristic (ROC) with cr...
axis = 0 ) mean_tpr [ - 1 ] = 1.0 mean_auc = auc ( mean_fpr...“versicolor” class ( class_id=1 ) is regarded as the positive...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html -
移行 0.9.6.1 to 0.9.6.2 | DBFlute
1 to 0.9.6.2 お約束の注意点 環境上の注意点 実装上の注意点...dbflute.seasar.org/ja/environment/upgrade/migration/migrate0961to0962.html -
Probabilistic predictions with Gaussian process...
875 Accuracy: 1.000 (initial) 1.000 (optimized) Log-loss:...GaussianProcessClass ( kernel = 1.0 * RBF ( length_scale = 1.0 ), optimizer =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
weighted_mode — scikit-learn 1.7.2 documentation
1 , 4 , 2 , 4 , 2 ] >>> weights = [ 1 , 1 , 1 , 1 , 1 , 1...distribution. >>> weights = [ 1 , 3 , 0.5 , 1.5 , 1 , 2 ] # deweight the...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.weighted_mode.html -
make_friedman3 — scikit-learn 1.7.2 documentation
1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3...arctan (( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html -
calibration_curve — scikit-learn 1.7.2 document...
1 , 1 , 1 , 1 , 1 ]) >>> y_pred = np . array ([ 0.1 , 0.2...positive class. Added in version 1.1. n_bins int, default=5 Number...scikit-learn.org/stable/modules/generated/sklearn.calibration.calibration_curve.html -
ndcg_score — scikit-learn 1.7.2 documentation
1.1 , 1. , .5 , .0 ]]) >>> ndcg_score...scores = np . asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by default ties...scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html -
sigmoid_kernel — scikit-learn 1.7.2 documentation
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...defaults to 1.0 / n_features. coef0 float, default=1 Constant offset...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html -
Probability calibration of classifiers — scikit...
51 )[ 1 :: 2 ], y_test [ order ] . reshape ( 25 , - 1 ) . mean...] = 0 y [ n_samples // 2 :] = 1 sample_weight = np . random ....scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
12. Dispatching — scikit-learn 1.7.2 documentation
1. Array API support (experimental) 12.1.1. Example...usage 12.1.2. Support for Array API -compatible inputs 12.1.3. Input...scikit-learn.org/stable/dispatching.html