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mutual_info_score — scikit-learn 1.7.2 do...
1 , 1 , 0 , 1 , 0 ] >>> labels_pred = [ 0 , 1 , 0...as: \[MI(U,V)=\sum_{i=1}^{|U|} \sum_{j=1}^{|V|} \frac{|U_i\cap...scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
TfidfVectorizer — scikit-learn 1.7.2 docu...
ngram_range=(1 , 1) , max_df=1.0 , min_df=1 , max_features=None...ngram_range of (1, 1) means only unigrams, (1, 2) means unigrams...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html -
SVR — scikit-learn 1.7.2 documentation
Added in version 1.1. n_support_ ndarray of shape (1,), dtype=int32..., tol = 0.001 , C = 1.0 , epsilon = 0.1 , shrinking = True ,...scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html -
permutation_importance — scikit-learn 1.7...
>>> X = [[ 1 , 9 , 9 ],[ 1 , 9 , 9 ],[ 1 , 9 , 9 ], ... [..., 9 ]] >>> y = [ 1 , 1 , 1 , 0 , 0 , 0 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html -
cosine_similarity — scikit-learn 1.7.2 do...
scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_similarity.html -
mutual_info_regression — scikit-learn 1.7...
means 1 unless in a joblib.parallel_backend context. -1 means...References [ 1 ] Mutual Information on Wikipedia. [ 2 ] ( 1 , 2 ) A....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
MultiTaskLasso — scikit-learn 1.7.2 docum...
1 ) >>> clf . fit ([[ 0 , 1 ], [ 1 , 2 ], [...0 ], [ 1 , 1 ], [ 2 , 3 ]]) MultiTaskLasso(alpha=0.1) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html -
median_absolute_error — scikit-learn 1.7....
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...>>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html -
GradientBoostingRegressor — scikit-learn ...
1 , n_estimators = 100 , subsample = 1.0 , criterion...in the range [1, inf) . subsample float, default=1.0 The fraction...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
PCA — scikit-learn 1.7.2 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...more details. Added in version 1.1. power_iteration_normalizer {‘auto’,...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html