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Cross decomposition — scikit-learn 1.7.2 docume...
Examples concerning the sklearn.cross_decomposition module. Compare cross decomposition methods Principal Component Regression vs Partial Least Squares Regressionscikit-learn.org/stable/auto_examples/cross_decomposition/index.html -
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1.1. Linear Models — scikit-learn 1.7.2 documen...
Examples Classification of text documents using sparse features 1.1.2.3....Stochastic Gradient Descent documentation section for more details....scikit-learn.org/stable/modules/linear_model.html -
randomized_range_finder — scikit-learn 1.7.2 do...
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 -
compute_sample_weight — scikit-learn 1.7.2 docu...
Skip to main content Back to top Ctrl + K GitHub Choose version compute_sample_weight # sklearn.utils.class_weight. c...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_sample_weight.html -
3. Model selection and evaluation — scikit-lear...
Cross-validation: evaluating estimator performance- Computing cross-validated metrics, Cross validation iterators, A note on shuffling, Cross validation and model selection, Permutation test score....scikit-learn.org/stable/model_selection.html -
class_likelihood_ratios — scikit-learn 1.7.2 do...
Gallery examples: Class Likelihood Ratios to measure classification performancescikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html -
get_scorer_names — scikit-learn 1.7.2 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version get_scorer_names # sklearn.metrics. get_scorer_names ...scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer_names.html -
d2_tweedie_score — scikit-learn 1.7.2 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version d2_tweedie_score # sklearn.metrics. d2_tweedie_score ...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_tweedie_score.html -
sklearn.gaussian_process — scikit-learn 1.7.2 d...
Gaussian process based regression and classification. User guide. See the Gaussian Processes section for further details. Kernels: A set of kernels that can be combined by operators and used in Gau...scikit-learn.org/stable/api/sklearn.gaussian_process.html