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LinearDiscriminantAnalysis — scikit-learn 1.8.0...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
Evaluate the performance of a classifier with C...
confusion matrix [[1. 0. 0. ] [0. 0.62 0.38] [0. 0. 1. ]] Binary Classification...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Recognizing...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
SGDOneClassSVM — scikit-learn 1.8.0 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...deprecated in version 1.8 and will raise an error in 1.10. Use values...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDOneClassSVM.html -
7.7. Kernel Approximation — scikit-learn 1.8.0 ...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...\Lambda^{-1}\right) \Lambda \left(K_{21} U_1 \Lambda^{-1}\right)^T...scikit-learn.org/stable/modules/kernel_approximation.html -
make_multilabel_classification — scikit-learn 1...
[array([1, 1, 0, 1, 0]), array([0, 1, 1, 1, 0]), array([0, 1, 0,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html -
label_ranking_loss — scikit-learn 1.8.0 documen...
1 ], [ 1 , 0.2 , 0.1 ]] >>> label_ranking_loss...label_ranking_loss >>> y_true = [[ 1 , 0 , 0 ], [ 0 , 0 , 1 ]] >>> y_score = [[...scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_loss.html -
spectral_clustering — scikit-learn 1.8.0 docume...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...random_state = 0 ... ) array([1, 1, 1, 0, 0, 0]) Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html -
precision_recall_curve — scikit-learn 1.8.0 doc...
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...0.66666667, 0.5 , 1. , 1. ]) >>> recall array([1. , 1. , 0.5, 0.5,...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html -
make_friedman3 — scikit-learn 1.8.0 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 -
Plotting Learning Curves and Checking Models’ S...
1 , 1.0 , 5 ), "cv" : ShuffleSplit..."train_sizes" : np . linspace ( 0.1 , 1.0 , 5 ), "cv" : ShuffleSplit...scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html