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make_scorer — scikit-learn 1.7.1 documentation
Gallery examples: Lagged features for time series forecasting Prediction Intervals for Gradient Boosting Regression Features in Histogram Gradient Boosting Trees Post-tuning the decision threshold ...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
sklearn.mixture — scikit-learn 1.7.1 documentation
Mixture modeling algorithms. User guide. See the Gaussian mixture models section for further details.scikit-learn.org/stable/api/sklearn.mixture.html -
spectral_embedding — scikit-learn 1.7.1 documen...
Skip to main content Back to top Ctrl + K GitHub Choose version spectral_embedding # sklearn.manifold. spectral_embed...scikit-learn.org/stable/modules/generated/sklearn.manifold.spectral_embedding.html -
euclidean_distances — scikit-learn 1.7.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version euclidean_distances # sklearn.metrics.pairwise. eucli...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html -
check_scoring — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version check_scoring # sklearn.metrics. check_scoring ( esti...scikit-learn.org/stable/modules/generated/sklearn.metrics.check_scoring.html -
manhattan_distances — scikit-learn 1.7.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version manhattan_distances # sklearn.metrics.pairwise. manha...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.manhattan_distances.html -
sklearn.dummy — scikit-learn 1.7.1 documentation
Dummy estimators that implement simple rules of thumb. User guide. See the Metrics and scoring: quantifying the quality of predictions section for further details.scikit-learn.org/stable/api/sklearn.dummy.html -
hinge_loss — scikit-learn 1.7.1 documentation
Gallery examples: Plot classification boundaries with different SVM Kernelsscikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
maxabs_scale — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version maxabs_scale # sklearn.preprocessing. maxabs_scale ( ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html -
sklearn.multiclass — scikit-learn 1.7.1 documen...
Multiclass learning algorithms. one-vs-the-rest / one-vs-all, one-vs-one, error correcting output codes. The estimators provided in this module are meta-estimators: they require a base estimator to...scikit-learn.org/stable/api/sklearn.multiclass.html