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Decomposition — scikit-learn 1.7.2 documentation
Examples concerning the sklearn.decomposition module. Blind source separation using FastICA Comparison of LDA and PCA 2D projection of Iris dataset Faces dataset decompositions Factor Analysis (wit...scikit-learn.org/stable/auto_examples/decomposition/index.html -
clone — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version clone # sklearn.base. clone ( estimator , * , safe = ...scikit-learn.org/stable/modules/generated/sklearn.base.clone.html -
ConvergenceWarning — scikit-learn 1.7.2 documen...
Skip to main content Back to top Ctrl + K GitHub Choose version ConvergenceWarning # exception sklearn.exceptions. Co...scikit-learn.org/stable/modules/generated/sklearn.exceptions.ConvergenceWarning.html -
SelectPercentile — scikit-learn 1.7.2 documenta...
Gallery examples: Feature agglomeration vs. univariate selection Column Transformer with Mixed Types Introducing the set_output API SVM-Anova: SVM with univariate feature selectionscikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
UndefinedMetricWarning — scikit-learn 1.7.2 doc...
Skip to main content Back to top Ctrl + K GitHub Choose version UndefinedMetricWarning # exception sklearn.exceptions...scikit-learn.org/stable/modules/generated/sklearn.exceptions.UndefinedMetricWarning.html -
DataConversionWarning — scikit-learn 1.7.2 docu...
Skip to main content Back to top Ctrl + K GitHub Choose version DataConversionWarning # exception sklearn.exceptions....scikit-learn.org/stable/modules/generated/sklearn.exceptions.DataConversionWarning.html -
DummyClassifier — scikit-learn 1.7.2 documentation
Gallery examples: Multi-class AdaBoosted Decision Trees Post-tuning the decision threshold for cost-sensitive learning Detection error tradeoff (DET) curve Class Likelihood Ratios to measure classi...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
TunedThresholdClassifierCV — scikit-learn 1.7.2...
Gallery examples: Post-tuning the decision threshold for cost-sensitive learning Post-hoc tuning the cut-off point of decision function Release Highlights for scikit-learn 1.5scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html -
TargetTags — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version TargetTags # class sklearn.utils. TargetTags ( requir...scikit-learn.org/stable/modules/generated/sklearn.utils.TargetTags.html -
Decision Tree Regression — scikit-learn 1.7.2 d...
"max_depth=2" , linewidth = 2 ) plt . plot ( X_test , y_2 , color..."max_depth=2" , ) plt . scatter ( y_2 [:, 0 ], y_2 [:, 1 ], c...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html