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inplace_column_scale — scikit-learn 1.7.0 docum...
Skip to main content Back to top Ctrl + K GitHub Choose version inplace_column_scale # sklearn.utils.sparsefuncs. inp...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html -
is_clusterer — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version is_clusterer # sklearn.base. is_clusterer ( estimator...scikit-learn.org/stable/modules/generated/sklearn.base.is_clusterer.html -
is_classifier — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version is_classifier # sklearn.base. is_classifier ( estimat...scikit-learn.org/stable/modules/generated/sklearn.base.is_classifier.html -
User Guide — scikit-learn 1.7.0 documentation
Supervised learning- Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, Or...scikit-learn.org/stable/user_guide.html -
Confusion matrix — scikit-learn 1.7.0 documenta...
Example of confusion matrix usage to evaluate the quality of the output of a classifier on the iris data set. The diagonal elements represent the number of points for which the predicted label is e...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
Feature Selection — scikit-learn 1.7.0 document...
Examples concerning the sklearn.feature_selection module. Comparison of F-test and mutual information Model-based and sequential feature selection Pipeline ANOVA SVM Recursive feature elimination R...scikit-learn.org/stable/auto_examples/feature_selection/index.html -
Multiclass methods — scikit-learn 1.7.0 documen...
Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimatorsscikit-learn.org/stable/auto_examples/multiclass/index.html -
Dataset examples — scikit-learn 1.7.0 documenta...
Examples concerning the sklearn.datasets module. Plot randomly generated multilabel datasetscikit-learn.org/stable/auto_examples/datasets/index.html -
Ensemble methods — scikit-learn 1.7.0 documenta...
Examples concerning the sklearn.ensemble module. Categorical Feature Support in Gradient Boosting Combine predictors using stacking Comparing Random Forests and Histogram Gradient Boosting models C...scikit-learn.org/stable/auto_examples/ensemble/index.html -
Decision Trees — scikit-learn 1.7.0 documentation
Examples concerning the sklearn.tree module. Decision Tree Regression Plot the decision surface of decision trees trained on the iris dataset Post pruning decision trees with cost complexity prunin...scikit-learn.org/stable/auto_examples/tree/index.html