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__sklearn_is_fitted__ as Developer API — scikit...
scikit-learn 1.6 Release Highlights for scikit-learn 1.6 Metadata...__init__ ( self , parameter = 1 ): self . parameter = parameter...scikit-learn.org/stable/auto_examples/developing_estimators/sklearn_is_fitted.html -
Bisecting K-Means and Regular K-Means Performan...
1 ], s = 10 , c = algo . labels_...centers [:, 0 ], centers [:, 1 ], c = "r" , s = 20 ) axs [ j...scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html -
weighted_mode — scikit-learn 1.6.1 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 1.6.1 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 1.6.1 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 -
get_scorer — scikit-learn 1.6.1 documentation
1 , - 1 , - 0.5 , 2 ], ( - 1 , 1 )) >>> y = np...np . array ([ 0 , 1 , 1 , 0 , 1 ]) >>> classifier = DummyClassifier...scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer.html -
sigmoid_kernel — scikit-learn 1.6.1 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 -
ndcg_score — scikit-learn 1.6.1 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 -
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 -
4. Inspection — scikit-learn 1.6.1 documentation
1.1. Partial dependence plots 4.1.2. Individual...expectation (ICE) plot 4.1.3. Mathematical Definition 4.1.4. Computation...scikit-learn.org/stable/inspection.html