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GridSearchCV — scikit-learn 1.8.0 documentation
or scoring must be passed. param_grid dict or...cv_results_ dict of numpy (masked) ndarrays A dict with keys...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
RandomizedSearchCV — scikit-learn 1.8.0 documen...
or scoring must be passed. param_distributions...parameters to try. Distributions must provide a rvs method for sampling...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
MinCovDet — scikit-learn 1.8.0 documentation
The parameter must be in the range (0, 1]. random_state...ndarray of shape (n_samples,) A mask of the observations that have...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
Monotonic Constraints — scikit-learn 1.8.0 docu...
quantile to be estimated and must be between 0 and 1. None learning_rate...number of leaves for each tree. Must be strictly greater than 1....scikit-learn.org/stable/auto_examples/ensemble/plot_monotonic_constraints.html -
Categorical Feature Support in Gradient Boostin...
all steps must define `fit`. All non-last steps must also define...all steps must define `fit`. All non-last steps must also define...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html -
SelectFromModel — scikit-learn 1.8.0 documentation
estimator must be a fitted estimator. If False...input_features = None ) [source] # Mask feature names according to selected...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
MissingIndicator — scikit-learn 1.8.0 documenta...
default=’missing-only’ Whether the imputer mask should represent all or a subset...'missing-only' (default), the imputer mask will only represent features...scikit-learn.org/stable/modules/generated/sklearn.impute.MissingIndicator.html -
SelectorMixin — scikit-learn 1.8.0 documentation
feature selection given a support mask This mixin provides a feature..._get_support_mask ( self ): ... mask = np . zeros ( self . n_features_in_...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectorMixin.html -
Comparing Target Encoder with Other Encoders — ...
all steps must define `fit`. All non-last steps must also define...all steps must define `fit`. All non-last steps must also define...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
SelectFpr — scikit-learn 1.8.0 documentation
input_features = None ) [source] # Mask feature names according to selected...array-like, then input_features must match feature_names_in_ if feature_names_in_...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html