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randomized_range_finder — scikit-learn 1....
Skip to main content Back to top Ctrl + K GitHub Choose version randomized_range_finder # sklearn.utils.extmath. rand...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_range_finder.html -
export_graphviz — scikit-learn 1.7.2 docu...
Skip to main content Back to top Ctrl + K GitHub Choose version export_graphviz # sklearn.tree. export_graphviz ( dec...scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html -
ExtraTreeRegressor — scikit-learn 1.7.2 d...
Skip to main content Back to top Ctrl + K GitHub Choose version ExtraTreeRegressor # class sklearn.tree. ExtraTreeReg...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html -
StandardScaler — scikit-learn 1.7.2 docum...
Gallery examples: Faces recognition example using eigenfaces and SVMs Prediction Latency Classifier comparison Comparing different clustering algorithms on toy datasets Demo of DBSCAN clustering al...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html -
cross_validate — scikit-learn 1.7.2 docum...
Gallery examples: Time-related feature engineering Lagged features for time series forecasting Categorical Feature Support in Gradient Boosting Features in Histogram Gradient Boosting Trees Combine...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html -
KernelPCA — scikit-learn 1.7.2 documentation
Gallery examples: Image denoising using kernel PCA Kernel PCAscikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
NMF — scikit-learn 1.7.2 documentation
Gallery examples: Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation Selecting dimensionality reduction with Pipeline and GridSearchCV Faces dataset decompositionsscikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
HistGradientBoostingClassifier — scikit-l...
Gallery examples: Plot classification probability Feature transformations with ensembles of trees Comparing Random Forests and Histogram Gradient Boosting models Post-tuning the decision threshold ...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
TimeSeriesSplit — scikit-learn 1.7.2 docu...
Gallery examples: Time-related feature engineering Lagged features for time series forecasting Features in Histogram Gradient Boosting Trees L1-based models for Sparse Signals Visualizing cross-val...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
NeighborhoodComponentsAnalysis — scikit-l...
Gallery examples: Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Comparing Nearest Neighbors with and without Neighborhood Components Analysis Dimensionality Reduction w...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html