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RFE — scikit-learn 1.5.0 documentation
) The mask of selected features. See also...input_features = None ) [source] # Mask feature names according to selected...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
FunctionTransformer — scikit-learn 1.5.0 docume...
then it must take two positional arguments:...names ( input_features ). It must return an array-like of output...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
FeatureHasher — scikit-learn 1.5.0 documentation
Feature values must be (finite) numbers. This class...input_type="string" , the input must be an iterable over iterables...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html -
dbscan — scikit-learn 1.5.0 documentation
it must be one of the options allowed...to be a distance matrix and must be square during fit. X may...scikit-learn.org/stable/modules/generated/dbscan-function.html -
NeighborhoodComponentsAnalysis — scikit-learn 1...
numpy array n_features_b must match the dimensionality of...passed to fit and n_features_a must be less than or equal to that....scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
Balance model complexity and cross-validated sc...
cv_results : dict of numpy(masked) ndarrays See attribute cv_results_...cv_results : dict of numpy(masked) ndarrays See attribute cv_results_...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html -
SplineTransformer — scikit-learn 1.5.0 document...
Must be larger or equal 2. Ignored...degree of the spline basis. Must be a non-negative integer. knots...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
pairwise_distances — scikit-learn 1.5.0 documen...
a custom metric must be passed. This method provides...array. If metric is a string, it must be one of the options allowed...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html -
GaussianProcessRegressor — scikit-learn 1.5.0 d...
it must have the same number of entries...If a callable is passed, it must have the signature: def optimizer...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
1.4. Support Vector Machines — scikit-learn 1.5...
it must have been fit on such data....1. Note that the same scaling must be applied to the test vector...scikit-learn.org/stable/modules/svm.html