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MultinomialNB — scikit-learn 1.5.0 documentation
g., word counts for text classification)....sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
Developing scikit-learn estimators — scikit-lea...
g. by adding, changing, or removing...subestimator has a name (as e.g. named steps in a Pipeline object),...scikit-learn.org/stable/developers/develop.html -
Lars — 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.linear_model.Lars.html -
Elastic Common Schema: Normalizing your data wi...
g., search, drill-down and pivoting,...visualization) or automated analysis (e.g., alerting, detection rules and...www.elastic.co/elasticsearch/common-schema -
normalize — 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.normalize.html -
RFE — scikit-learn 1.5.0 documentation
g., the coefficients of a linear...information about feature importance (e.g. coef_ , feature_importances_...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
LassoLars — 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.linear_model.LassoLars.html -
LassoLarsIC — 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.linear_model.LassoLarsIC.html -
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 -
Ridge — 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.linear_model.Ridge.html