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NuSVR — scikit-learn 1.5.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...for Support Vector Machines [ 2 ] Platt, John (1999). “Probabilistic...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
enet_path — scikit-learn 1.5.2 documentation
it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...|| w ||^ 2_2 For multi-output tasks it is: ( 1 / ( 2 * n_samples...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
validation_curve — scikit-learn 1.5.2 documenta...
scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
ExtraTreesRegressor — scikit-learn 1.5.2 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 -
MDS — scikit-learn 1.5.2 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 -
MultiOutputRegressor — scikit-learn 1.5.2 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 -
CountVectorizer — scikit-learn 1.5.2 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 -
BayesianGaussianMixture — scikit-learn 1.5.2 do...
2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [ 12 , 4 ],...>>> bgm . means_ array([[2.49... , 2.29...], [8.45..., 4.52......scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
MinMaxScaler — scikit-learn 1.5.2 documentation
transform ([[ 2 , 2 ]])) [[1.5 0. ]] fit ( X , y...MinMaxScaler >>> data = [[ - 1 , 2 ], [ - 0.5 , 6 ], [ 0 , 10 ],...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html -
kneighbors_graph — scikit-learn 1.5.2 documenta...
p = 2 , metric_params = None , include_self...standard Euclidean distance when p = 2. See the documentation of scipy.spatial.distance...scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html