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RFECV — 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.RFECV.html -
RBF SVM parameters — scikit-learn 1.5.0 documen...
masked_array ( np . interp ( value...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html -
I Deliver Pizza And My Boss Has Been Skimming T...
It must be a real shot to your confidence...should "print it out and make a mask out of it, then wear it at work."...digg.com/productivity/link/work-drama-toxic-bosses-customer-service-McDonalds-horror-story-weekly... -
DictVectorizer — scikit-learn 1.5.0 documentation
X must have been produced by this DictVectorizer’s...Constructor for feature mappings. Must conform to the collections.Mapping...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
SimpleImputer — scikit-learn 1.5.0 documentation
fill_value must be a string. If None , fill_value...array-like, then input_features must match feature_names_in_ if feature_names_in_...scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
RANSACRegressor — scikit-learn 1.5.0 documentation
inlier_mask_ bool array of shape [n_samples] Boolean mask of inliers...LinearRegression is used, the user must provide a value. residual_threshold...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html -
HuberRegressor — scikit-learn 1.5.0 documentation
Epsilon must be in the range [1, inf) . max_iter...is equal to alpha * ||w||^2 . Must be in the range [0, inf) . warm_start...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
Glossary of Common Terms and API Elements — sci...
and must do so if it is transductive . A clusterer must implement:...attributes after fitting, and that we must be careful to make meta-estimators...scikit-learn.org/dev/glossary.html -
Partial Dependence and Individual Conditional E...
y_train = X [ mask_training ], y [ mask_training ] X_test..., y_test = X [ ~ mask_training ], y [ ~ mask_training ] We can...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html -
PartialDependenceDisplay — scikit-learn 1.5.0 d...
Each tuple must be of size 2. If any entry is...is a string, then it must be in feature_names . sample_weight...scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html