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Approximate nearest neighbors in TSNE — scikit-...
This example presents how to chain KNeighborsTransformer and TSNE in a pipeline. It also shows how to wrap the packages nmslib and pynndescent to replace KNeighborsTransformer and perform approxima...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html -
Underfitting vs. Overfitting — scikit-learn 1.7...
This example demonstrates the problems of underfitting and overfitting and how we can use linear regression with polynomial features to approximate nonlinear functions. The plot shows the function ...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
Plot the support vectors in LinearSVC — scikit-...
Unlike SVC (based on LIBSVM), LinearSVC (based on LIBLINEAR) does not provide the support vectors. This example demonstrates how to obtain the support vectors in LinearSVC. Total running time of th...scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html -
type_of_target — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version type_of_target # sklearn.utils.multiclass. type_of_ta...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.type_of_target.html -
column_or_1d — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version column_or_1d # sklearn.utils.validation. column_or_1d...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.column_or_1d.html -
Version 1.0 — scikit-learn 1.7.2 documentation
previously didn’t work as documented – or according to reasonable...these functions were not documented and part from the public...scikit-learn.org/stable/whats_new/v1.0.html -
User Guide — scikit-learn 1.7.2 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 -
Decision Trees — scikit-learn 1.7.2 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 -
Ensemble methods — scikit-learn 1.7.2 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 -
Feature Selection — scikit-learn 1.7.2 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