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CalibrationDisplay — scikit-learn 1.5.2 documen...
Gallery examples: Comparison of Calibration of Classifiers Probability Calibration curvesscikit-learn.org/stable/modules/generated/sklearn.calibration.CalibrationDisplay.html -
RobustScaler — scikit-learn 1.5.2 documentation
Gallery examples: Evaluation of outlier detection estimators Compare the effect of different scalers on data with outliersscikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html -
FixedThresholdClassifier — scikit-learn 1.5.2 d...
Gallery examples: Release Highlights for scikit-learn 1.5 Post-tuning the decision threshold for cost-sensitive learningscikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
binarize — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub binarize # sklearn.preprocessing. binarize ( X , * , threshold = 0.0...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.binarize.html -
Binarizer — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub Binarizer # class sklearn.preprocessing. Binarizer ( * , threshold =...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html -
RidgeCV — scikit-learn 1.5.2 documentation
Gallery examples: Combine predictors using stacking Time-related feature engineering Model-based and sequential feature selection Common pitfalls in the interpretation of coefficients of linear mod...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
QuantileTransformer — scikit-learn 1.5.2 docume...
Gallery examples: Partial Dependence and Individual Conditional Expectation Plots Effect of transforming the targets in regression model Compare the effect of different scalers on data with outlier...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html -
OneToOneFeatureMixin — scikit-learn 1.5.2 docum...
Skip to main content Back to top Ctrl + K GitHub OneToOneFeatureMixin # class sklearn.base. OneToOneFeatureMixin [sou...scikit-learn.org/stable/modules/generated/sklearn.base.OneToOneFeatureMixin.html -
OneClassSVM — scikit-learn 1.5.2 documentation
Gallery examples: Outlier detection on a real data set Species distribution modeling One-Class SVM versus One-Class SVM using Stochastic Gradient Descent Comparing anomaly detection algorithms for ...scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html -
Bunch — scikit-learn 1.5.2 documentation
Gallery examples: Species distribution modelingscikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html