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get_scorer — scikit-learn 1.7.2 documenta...
Gallery examples: Release Highlights for scikit-learn 1.4scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer.html -
load_digits — scikit-learn 1.7.2 document...
Gallery examples: Recognizing hand-written digits Feature agglomeration Various Agglomerative Clustering on a 2D embedding of digits A demo of K-Means clustering on the handwritten digits data Sele...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html -
GaussianNB — scikit-learn 1.7.2 documenta...
Gallery examples: Probability calibration of classifiers Probability Calibration curves Comparison of Calibration of Classifiers Classifier comparison Plotting Learning Curves and Checking Models’ ...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
load_iris — scikit-learn 1.7.2 documentation
Gallery examples: Plot classification probability Plot Hierarchical Clustering Dendrogram Concatenating multiple feature extraction methods Incremental PCA Principal Component Analysis (PCA) on Iri...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html -
k_means — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version k_means # sklearn.cluster. k_means ( X , n_clusters ,...scikit-learn.org/stable/modules/generated/sklearn.cluster.k_means.html -
check_random_state — scikit-learn 1.7.2 d...
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 -
check_memory — scikit-learn 1.7.2 documen...
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 -
EmpiricalCovariance — scikit-learn 1.7.2 ...
Gallery examples: Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood Robust covariance estimation and Mahalanobis distances relevance Robust vs Empirical covariance estimatescikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html -
config_context — scikit-learn 1.7.2 docum...
Gallery examples: Introducing the set_output APIscikit-learn.org/stable/modules/generated/sklearn.config_context.html -
calibration_curve — scikit-learn 1.7.2 do...
Skip to main content Back to top Ctrl + K GitHub Choose version calibration_curve # sklearn.calibration. calibration_...scikit-learn.org/stable/modules/generated/sklearn.calibration.calibration_curve.html