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sklearn — scikit-learn 1.8.0 documentation
Configure global settings and get information about the working environment.scikit-learn.org/stable/api/sklearn.html -
get_data_home — scikit-learn 1.8.0 documentation
Gallery examples: Out-of-core classification of text documentsscikit-learn.org/stable/modules/generated/sklearn.datasets.get_data_home.html -
make_sparse_coded_signal — scikit-learn 1.8.0 d...
Gallery examples: Orthogonal Matching Pursuitscikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_coded_signal.html -
load_sample_images — scikit-learn 1.8.0 documen...
Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_images # sklearn.datasets. load_sample_im...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_images.html -
InconsistentVersionWarning — scikit-learn 1.8.0...
Skip to main content Back to top Ctrl + K GitHub Choose version InconsistentVersionWarning # exception sklearn.except...scikit-learn.org/stable/modules/generated/sklearn.exceptions.InconsistentVersionWarning.html -
enable_iterative_imputer — scikit-learn 1.8.0 d...
Enables IterativeImputer The API and results of this estimator might change without any deprecation cycle. Importing this file dynamically sets IterativeImputer as an attribute of the impute module:scikit-learn.org/stable/modules/generated/sklearn.experimental.enable_iterative_imputer.html -
reconstruct_from_patches_2d — scikit-learn 1.8....
Gallery examples: Image denoising using dictionary learningscikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.reconstruct_from_patch... -
kernel_metrics — scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version kernel_metrics # sklearn.metrics.pairwise. kernel_met...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.kernel_metrics.html -
check_memory — scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version check_memory # sklearn.utils.validation. check_memory...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_memory.html -
check_random_state — scikit-learn 1.8.0 documen...
Gallery examples: Empirical evaluation of the impact of k-means initialization MNIST classification using multinomial logistic + L1 Manifold Learning methods on a severed sphere Isotonic Regression...scikit-learn.org/stable/modules/generated/sklearn.utils.check_random_state.html