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cross_validate — scikit-learn 1.7.1 documentation
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 -
affinity_propagation — scikit-learn 1.7.1 docum...
Gallery examples: Visualizing the stock market structurescikit-learn.org/stable/modules/generated/sklearn.cluster.affinity_propagation.html -
consensus_score — scikit-learn 1.7.1 documentation
Gallery examples: A demo of the Spectral Biclustering algorithm A demo of the Spectral Co-Clustering algorithmscikit-learn.org/stable/modules/generated/sklearn.metrics.consensus_score.html -
isotonic_regression — scikit-learn 1.7.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version isotonic_regression # sklearn.isotonic. isotonic_regr...scikit-learn.org/stable/modules/generated/sklearn.isotonic.isotonic_regression.html -
sklearn.impute — scikit-learn 1.7.1 documentation
Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.scikit-learn.org/stable/api/sklearn.impute.html -
Vector Quantization Example — scikit-learn 1.7....
This example shows how one can use KBinsDiscretizer to perform vector quantization on a set of toy image, the raccoon face. Original image: We start by loading the raccoon face image from SciPy. We...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
Caching nearest neighbors — scikit-learn 1.7.1 ...
This example demonstrates how to precompute the k nearest neighbors before using them in KNeighborsClassifier. KNeighborsClassifier can compute the nearest neighbors internally, but precomputing th...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
f_regression — scikit-learn 1.7.1 documentation
Gallery examples: Feature agglomeration vs. univariate selection Comparison of F-test and mutual informationscikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
check_increasing — scikit-learn 1.7.1 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version check_increasing # sklearn.isotonic. check_increasing...scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html -
sklearn.isotonic — scikit-learn 1.7.1 documenta...
Isotonic regression for obtaining monotonic fit to data. User guide. See the Isotonic regression section for further details.scikit-learn.org/stable/api/sklearn.isotonic.html