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HashingVectorizer — scikit-learn 1.6.1 document...
ngram_range of (1, 1) means only unigrams, (1, 2) means unigrams...\\w\\w+\\b' , ngram_range=(1 , 1) , analyzer='word' , n_features=1048576...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html -
completeness_score — scikit-learn 1.6.1 documen...
1 , 1 ], [ 1 , 1 , 0 , 0 ]) np.float64(1.0) Non-perfect...completeness_score ([ 0 , 0 , 1 , 1 ], [ 0 , 1 , 0 , 1 ])) 0.0 >>> print...scikit-learn.org/stable/modules/generated/sklearn.metrics.completeness_score.html -
f1_score — scikit-learn 1.6.1 documentation
[ 1 , 1 , 1 ], [ 0 , 1 , 1 ]] >>> y_pred = [[...[[ 0 , 0 , 0 ], [ 1 , 1 , 1 ], [ 1 , 1 , 0 ]] >>> f1_score ( y_true...scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html -
f_regression — scikit-learn 1.6.1 documentation
r_regression values lie in [-1, 1] and can thus be negative. f_regression...set to 0.0 . Added in version 1.1. Returns : f_statistic ndarray...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
HuberRegressor — scikit-learn 1.6.1 documentation
epsilon = 1.35 , max_iter = 100 , alpha =...Parameters : epsilon float, default=1.35 The parameter epsilon controls...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
confusion_matrix — scikit-learn 1.6.1 documenta...
1 , 0 , 1 ], [ 1 , 1 , 1 , 0 ]) . ravel ()...negatives is \(C_{1,0}\) , true positives is \(C_{1,1}\) and false...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
minmax_scale — scikit-learn 1.6.1 documentation
1 , 2 ], [ - 1 , 0 , 1 ]] >>> minmax_scale...independently array([[0., 1., 1.], [1., 0., 0.]]) >>> minmax_scale...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html -
TheilSenRegressor — scikit-learn 1.6.1 document...
since version 1.6: copy_X was deprecated in 1.6 and will be removed...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
AdaBoostRegressor — scikit-learn 1.6.1 document...
the range [1, inf) . learning_rate float, default=1.0 Weight applied...n_estimators = 50 , learning_rate = 1.0 , loss = 'linear' , random_state...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
RidgeClassifier — scikit-learn 1.6.1 documentation
converts the target values into {-1, 1} and then treats the problem...sklearn.linear_model. RidgeClassifier ( alpha = 1.0 , * , fit_intercept = True ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html