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minmax_scale — scikit-learn 1.5.0 documentation
g. if the data is a numpy array...using the Transformer API (e.g. as part of a preprocessing Pipeline...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html -
ExtraTreesRegressor — scikit-learn 1.5.0 docume...
g. 0.3. Changed in version 1.1:...controlling the size of the trees (e.g. max_depth , min_samples_leaf...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
KBinsDiscretizer — scikit-learn 1.5.0 documenta...
g., when encode = 'onehot' and certain...feature selection algorithms (e.g., VarianceThreshold ). Examples...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html -
StandardScaler — scikit-learn 1.5.0 documentation
g. Gaussian with 0 mean and unit...guaranteed to always work inplace; e.g. if the data is not a NumPy array...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html -
IncrementalPCA — scikit-learn 1.5.0 documentation
G. Holub and C. Van Loan, Chapter...Issue 1-3, pp. 125-141, May 2008. G. Golub and C. Van Loan. Matrix...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
DecisionTreeRegressor — scikit-learn 1.5.0 docu...
g. max_depth , min_samples_leaf...sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
CategoricalNB — scikit-learn 1.5.0 documentation
g. used inside a Pipeline . Otherwise...sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
10. Common pitfalls and recommended practices —...
g., fit(X) , can result in overly...These are usually estimators (e.g. RandomForestClassifi ) and cross-validation...scikit-learn.org/stable/common_pitfalls.html -
PLSCanonical — scikit-learn 1.5.0 documentation
g. used inside a Pipeline . Otherwise...sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
CountVectorizer — scikit-learn 1.5.0 documentation
g., a dict) where keys are terms...sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html