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set_config — scikit-learn 1.7.0 documentation
Gallery examples: Metadata Routing Displaying Pipelines Introducing the set_output API Post-tuning the decision threshold for cost-sensitive learning Target Encoder’s Internal Cross fitting Release...scikit-learn.org/stable/modules/generated/sklearn.set_config.html -
roc_curve — scikit-learn 1.7.0 documentation
Gallery examples: Species distribution modeling Visualizations with Display Objects Detection error tradeoff (DET) curve Multiclass Receiver Operating Characteristic (ROC)scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
log_loss — scikit-learn 1.7.0 documentation
Gallery examples: Probability Calibration curves Probability Calibration for 3-class classification Plot classification probability Gradient Boosting Out-of-Bag estimates Gradient Boosting regulari...scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html -
det_curve — scikit-learn 1.7.0 documentation
Gallery examples: Detection error tradeoff (DET) curvescikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
matthews_corrcoef — scikit-learn 1.7.0 document...
Skip to main content Back to top Ctrl + K GitHub Choose version matthews_corrcoef # sklearn.metrics. matthews_corrcoe...scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html -
coverage_error — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version coverage_error # sklearn.metrics. coverage_error ( y_...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html -
sklearn.covariance — scikit-learn 1.7.0 documen...
Methods and algorithms to robustly estimate covariance. They estimate the covariance of features at given sets of points, as well as the precision matrix defined as the inverse of the covariance. C...scikit-learn.org/stable/api/sklearn.covariance.html -
sklearn.manifold — scikit-learn 1.7.0 documenta...
Data embedding techniques. User guide. See the Manifold learning section for further details.scikit-learn.org/stable/api/sklearn.manifold.html -
sklearn.inspection — scikit-learn 1.7.0 documen...
Tools for model inspection. User guide. See the Inspection section for further details. Plotting:scikit-learn.org/stable/api/sklearn.inspection.html -
label_binarize — scikit-learn 1.7.0 documentation
Gallery examples: Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html