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kneighbors_graph — scikit-learn 1.7.2 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 -
SGDRegressor — scikit-learn 1.7.2 documentation
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.linear_model.SGDRegressor.html -
FeatureUnion — scikit-learn 1.7.2 documentation
n_components = 2 ))]) >>> X = [[ 0. , 1. , 3 ], [ 2. , 2. , 5 ]] >>>...parameters. Added in version 1.2. n_features_in_ int Number of...scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
OutputCodeClassifier — scikit-learn 1.7.2 docum...
Artificial Intelligence Research 2, 1995. [ 2 ] “The error coding method...n_features = 4 , ... n_informative = 2 , n_redundant = 0 , ... random_state...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
r2_score — scikit-learn 1.7.2 documentation
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> r2_score...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
RandomTreesEmbedding — scikit-learn 1.7.2 docum...
min_samples_split = 2 , min_samples_leaf = 1 , min_...nodes is at most n_estimators * 2 ** max_depth . For an example...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html -
spectral_clustering — scikit-learn 1.7.2 docume...
[2] . Read more in the User Guide...be avoided. Added in version 1.2: Added ‘auto’ option. assign_labels...scikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html -
RandomForestClassifier — scikit-learn 1.7.2 doc...
min_samples_split = 2 , min_samples_leaf = 1 , min_...min_samples_split int or float, default=2 The minimum number of samples...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html -
MinMaxScaler — scikit-learn 1.7.2 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 -
BayesianGaussianMixture — scikit-learn 1.7.2 do...
2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [ 12 , 4 ],...) >>> bgm . means_ array([[2.49 , 2.29], [8.45, 4.52 ]]) >>> bgm...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html