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8.2. Computational Performance — scikit-learn 1...
g. in micro-seconds). Latency is...percentile of this distribution (e.g. the 90 percentile). Prediction...scikit-learn.org/stable/computing/computational_performance.html -
sklearn.linear_model.QuantileRegressor — scikit...
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.QuantileRegressor.html -
FeatureHasher and DictVectorizer Comparison — s...
g., tokens), then using the hash...appear with higher frequency (e.g. “the”, “a”, “is” in English)...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
sklearn.ensemble.AdaBoostClassifier — scikit-le...
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.ensemble.AdaBoostClassifier.html -
sklearn.linear_model.Lars — scikit-learn 1.4.2 ...
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 -
sklearn.ensemble.VotingClassifier — scikit-lear...
g. used inside a Pipeline . Otherwise...arguments Specific parameters using e.g. set_params(parameter_name=new_value)...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
sklearn.cross_decomposition.CCA — scikit-learn ...
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.CCA.html -
sklearn.linear_model.PassiveAggressiveRegressor...
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.PassiveAggressiveRegressor.html -
sklearn.linear_model.TweedieRegressor — scikit-...
stop when max{|g_j|, j = 1, ..., d} <= tol where g_j is the j-th...‘identity’ for power <= 0 , e.g. for the Normal distribution ‘log’...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
sklearn.feature_selection.RFE — scikit-learn 1....
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