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gen_batches — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version gen_batches # sklearn.utils. gen_batches ( n , batch_...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html -
safe_mask — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version safe_mask # sklearn.utils. safe_mask ( X , mask ) [so...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html -
Nearest Centroid Classification — scikit-learn ...
Sample usage of Nearest Centroid classification. It will plot the decision boundaries for each class.,., Total running time of the script:(0 minutes 0.156 seconds) Launch binder Launch JupyterLite ...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
set_config — scikit-learn 1.7.2 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 -
sklearn.ensemble — scikit-learn 1.7.2 documenta...
Ensemble-based methods for classification, regression and anomaly detection. User guide. See the Ensembles: Gradient boosting, random forests, bagging, voting, stacking section for further details.scikit-learn.org/stable/api/sklearn.ensemble.html -
sklearn.multioutput — scikit-learn 1.7.2 docume...
Multioutput regression and classification. The estimators provided in this module are meta-estimators: they require a base estimator to be provided in their constructor. The meta-estimator extends ...scikit-learn.org/stable/api/sklearn.multioutput.html -
sklearn.inspection — scikit-learn 1.7.2 documen...
Tools for model inspection. User guide. See the Inspection section for further details. Plotting:scikit-learn.org/stable/api/sklearn.inspection.html -
sklearn.manifold — scikit-learn 1.7.2 documenta...
Data embedding techniques. User guide. See the Manifold learning section for further details.scikit-learn.org/stable/api/sklearn.manifold.html -
sklearn.covariance — scikit-learn 1.7.2 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 -
check_cv — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version check_cv # sklearn.model_selection. check_cv ( cv = 5...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html