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CountVectorizer — scikit-learn 1.7.2 documentation
2) means unigrams and bigrams, and (2, 2) means only...= 'word' , ngram_range = ( 2 , 2 )) >>> X2 = vectorizer2 . fit_transform...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
MultiOutputRegressor — scikit-learn 1.7.2 docum...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination, \(R^2\) , is defined as \((1 - \frac{u}{v})\)...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
MDS — scikit-learn 1.7.2 documentation
MDS ( n_components = 2 , * , metric = True , n_init =...Parameters : n_components int, default=2 Number of dimensions in which...scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html -
ExtraTreesRegressor — scikit-learn 1.7.2 docume...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
PolynomialCountSketch — scikit-learn 1.7.2 docu...
degree = 2 , coef0 = 0 , n_components = 100...approximated. degree int, default=2 Degree of the polynomial kernel...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html -
3.2. Tuning the hyper-parameters of an estimato...
17 // 2 = 8 24 * 2 = 48 8 // 2 = 4 48 * 2 = 96 4 // 2 = 2 We can...(=n_candidates) 3 * 2 = 6 70 // 2 = 35 6 * 2 = 12 35 // 2 = 17 12 * 2 = 24 17...scikit-learn.org/stable/modules/grid_search.html -
AffinityPropagation — scikit-learn 1.7.2 docume...
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...cluster_centers_ array([[1, 2], [4, 2]]) For an example usage, see...scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
PartialDependenceDisplay — scikit-learn 1.7.2 d...
2 Release Highlights for scikit-learn 1.2 Release Highlights...‘both’) is not a valid option for 2-ways interactions plot. As a result,...scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html -
SGDClassifier — scikit-learn 1.7.2 documentation
[ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>> Y = np...np . array ([ 1 , 1 , 2 , 2 ]) >>> # Always scale the input. The...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html -
TransformerMixin — scikit-learn 1.7.2 documenta...
2 ], [ 2 , 3 ], [ 3 , 4 ]] >>> transformer...scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html