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NuSVR — scikit-learn 1.7.2 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 -
MultiOutputRegressor — scikit-learn 1.7.2...
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 -
kneighbors_graph — scikit-learn 1.7.2 doc...
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 -
CountVectorizer — scikit-learn 1.7.2 docu...
2) means unigrams and bigrams, and (2, 2) means only...'word' , ngram_range = ( 2 , 2 )) >>> X2 = vectorizer2...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
PoissonRegressor — scikit-learn 1.7.2 doc...
determination R^2. R^2 uses squared error and D^2 uses the deviance...() >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
PolynomialCountSketch — scikit-learn 1.7....
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 -
enet_path — scikit-learn 1.7.2 documentation
is: ( 1 / ( 2 * n_samples )) * || Y - XW || _Fro ^ 2 + alpha *...mono-output tasks it is: 1 / ( 2 * n_samples ) * || y - Xw ||^...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
make_classification — scikit-learn 1.7.2 ...
n_informative = 2 , n_redundant = 2 , n_repeated = 0 , n_classes = 2 , n_clusters_per_class...n_clusters_per_class = 2 , weights = None , flip_y = 0.01 , class_sep...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html -
TransformerMixin — scikit-learn 1.7.2 doc...
2 ], [ 2 , 3 ], [ 3 , 4 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html