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Results 821 - 830 of 1,682 for document (0.46 sec)

  1. MultiLabelBinarizer — scikit-learn 1.6.1 docume...

    Skip to main content Back to top Ctrl + K GitHub Choose version MultiLabelBinarizer # class sklearn.preprocessing. Mu...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html
    Mon Apr 21 17:07:39 UTC 2025
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  2. QuantileRegressor — scikit-learn 1.6.1 document...

    Gallery examples: Quantile regression
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html
    Mon Apr 21 17:07:39 UTC 2025
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  3. PrecisionRecallDisplay — scikit-learn 1.6.1 doc...

    Gallery examples: Visualizations with Display Objects Precision-Recall Post-tuning the decision threshold for cost-sensitive learning Precision-Recall Precision-Recall
    scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html
    Mon Apr 21 17:07:40 UTC 2025
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  4. ParameterGrid — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version ParameterGrid # class sklearn.model_selection. Parame...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html
    Mon Apr 21 17:07:39 UTC 2025
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  5. KFold — scikit-learn 1.6.1 documentation

    Gallery examples: Feature agglomeration vs. univariate selection Comparing Random Forests and Histogram Gradient Boosting models Gradient Boosting Out-of-Bag estimates Nested versus non-nested cros...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html
    Mon Apr 21 17:07:39 UTC 2025
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  6. OneClassSVM — scikit-learn 1.6.1 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
    Mon Apr 21 17:07:39 UTC 2025
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  7. DecisionTreeRegressor — scikit-learn 1.6.1 docu...

    Gallery examples: Release Highlights for scikit-learn 0.24 Release Highlights for scikit-learn 0.22 Decision Tree Regression Decision Tree Regression with AdaBoost Single estimator versus bagging: ...
    scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html
    Mon Apr 21 17:07:39 UTC 2025
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  8. CategoricalNB — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version CategoricalNB # class sklearn.naive_bayes. Categorica...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html
    Mon Apr 21 17:07:39 UTC 2025
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  9. RobustScaler — scikit-learn 1.6.1 documentation

    Gallery examples: Evaluation of outlier detection estimators Compare the effect of different scalers on data with outliers
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html
    Mon Apr 21 17:07:40 UTC 2025
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  10. scale — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version scale # sklearn.preprocessing. scale ( X , * , axis =...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
    Mon Apr 21 17:07:39 UTC 2025
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