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SequentialFeatureSelector — scikit-learn 1.6.1 ...
version 1.1: The option "auto" was added in version 1.1. Changed...version 1.3: The default changed from "warn" to "auto" in 1.3. tol...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
RandomizedSearchCV — scikit-learn 1.6.1 documen...
version 1.5: Xt was deprecated in 1.5 and will be removed in 1.7....means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
NeighborhoodComponentsAnalysis — scikit-learn 1...
If 1, progress messages will be printed to stdout. If > 1, progress...<= min(n_features, n_classes - 1) we use 'lda' , as it uses labels...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
LearningCurveDisplay — scikit-learn 1.6.1 docum...
1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute numbers...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
recall_score — scikit-learn 1.6.1 documentation
[ 1 , 1 , 1 ], [ 0 , 1 , 1 ]] >>> y_pred = [[...[[ 0 , 0 , 0 ], [ 1 , 1 , 1 ], [ 1 , 1 , 0 ]] >>> recall_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.recall_score.html -
TransformedTargetRegressor — scikit-learn 1.6.1...
reshape ( - 1 , 1 ) >>> y = np . exp ( 2 * X )...all strings. Added in version 1.0. See also sklearn.preproces...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
empirical_covariance — scikit-learn 1.6.1 docum...
>>> X = [[ 1 , 1 , 1 ],[ 1 , 1 , 1 ],[ 1 , 1 , 1 ], ... [ 0 ,...scikit-learn.org/stable/modules/generated/sklearn.covariance.empirical_covariance.html -
ExpSineSquared — scikit-learn 1.6.1 documentation
ExpSineSquared ( length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds...ExpSineSquared ( length_scale = 1 , periodicity = 1 ) >>> gpr = GaussianProcessRegre...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
pairwise_distances — scikit-learn 1.6.1 documen...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...deprecated from SciPy 1.9 and will be removed in SciPy 1.11. Note 'matching'...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html -
lasso_path — scikit-learn 1.6.1 documentation
alpha * || w || _1 For multi-output tasks it is: ( 1 / ( 2 * n_samples...lasso_path >>> X = np . array ([[ 1 , 2 , 3.1 ], [ 2.3 , 5.4 , 4.3 ]])...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html