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Release Highlights for scikit-learn 1.2 — sciki...
ON 2 1 Allison, Miss. Helen Loraine female 2.0000 1 2 113781...0.189830 -1.973554 2.0 1.0 33 -0.416010 2.630382 0.0 1.0 107...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html -
ValidationCurveDisplay — scikit-learn 1.7.2 doc...
str can be an expression like ‘2*n_jobs’. verbose int, default=0...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
mean_pinball_loss — scikit-learn 1.7.2 document...
2 , 3 ] >>> mean_pinball_loss ( y_true , [ 0 , 2 , 3 ],...mean_pinball_loss ( y_true , [ 1 , 2 , 4 ], alpha = 0.1 ) 0.3... >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.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 -
GradientBoostingClassifier — scikit-learn 1.7.2...
min_samples_split = 2 , min_samples_leaf = 1 , min_...min_samples_split int or float, default=2 The minimum number of samples...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.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 -
DecisionBoundaryDisplay — scikit-learn 1.7.2 do...
2) Input data that should be only 2-dimensional....load_iris () >>> feature_1 , feature_2 = np . meshgrid ( ... np . linspace...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
roc_curve — scikit-learn 1.7.2 documentation
2 , 2 ]) >>> scores = np . array ([...Returns : fpr ndarray of shape (>2,) Increasing false positive rates...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
Normalizer — scikit-learn 1.7.2 documentation
2 , 2 ], ... [ 1 , 3 , 9 , 3 ], ......transform ( X ) array([[0.8, 0.2, 0.4, 0.4], [0.1, 0.3, 0.9, 0.3],...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html -
GaussianMixture — scikit-learn 1.7.2 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], [ 10 , 2 ], [ 10 , 4 ],...gm . means_ array([[10., 2.], [ 1., 2.]]) >>> gm . predict ([[...scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html