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KNeighborsRegressor — scikit-learn 1.7.2 ...
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
WhiteKernel — scikit-learn 1.7.2 document...
predict ( X [: 2 ,:], return_std = True ) (array([653.0,...bounds ndarray of shape (n_dims, 2) The log-transformed bounds on...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.WhiteKernel.html -
mean_pinball_loss — scikit-learn 1.7.2 do...
2 , 3 ] >>> mean_pinball_loss...mean_pinball_loss ( y_true , [ 0 , 2 , 3 ], alpha = 0.1 ) 0.03... >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
root_mean_squared_error — scikit-learn 1....
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...>>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.html -
FeatureAgglomeration — scikit-learn 1.7.2...
FeatureAgglomeration ( n_clusters=2 , * , metric='euclidean' , memory=None...n_clusters int or None, default=2 The number of clusters to find....scikit-learn.org/stable/modules/generated/sklearn.cluster.FeatureAgglomeration.html -
OPTICS — scikit-learn 1.7.2 documentation
2 (1999): 49-60. [ 2 ] Schubert, Erich, Michael...>>> X = np . array ([[ 1 , 2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
RobustScaler — scikit-learn 1.7.2 documen...
- 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. , - 2. ]]...transform ( X ) array([[ 0. , -2. , 0. ], [-1. , 0. , 0.4], [ 1....scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html -
cross_validate — scikit-learn 1.7.2 docum...
pre_dispatch = '2*n_jobs' , return_train_score =...pre_dispatch int or str, default=’2*n_jobs’ Controls the number of...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html -
train_test_split — scikit-learn 1.7.2 doc...
2 1 4.9 3.0 1.4 0.2 2 4.7 3.2 1.3 0.2 3 4.6 3.1 1.5...73 6.1 2.8 4.7 1.2 18 5.7 3.8 1.7 0.3 118 7.7 2.6 6.9 2.3 78 6.0...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
make_hastie_10_2 — scikit-learn 1.7.2 doc...
2. The ten features are standard...= 1 if np . sum ( X [ i ] ** 2 ) > 9.34 else - 1 Read more...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html