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Decision Tree Regression — scikit-learn 1...
= "max_depth=2" , linewidth = 2 ) plt . plot ( X_test...DecisionTreeRegresso ( max_depth = 2 ) regr_2 = DecisionTreeRegresso...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html -
pairwise_distances_chunked — scikit-learn...
2 >>> def reduce_func (...[array([0, 3]), array([1]), array([2]), array([0, 3]), array([4])]...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html -
EllipticEnvelope — scikit-learn 1.8.0 doc...
(n_samples + n_features + 1) / 2 * n_samples . Range is (0, 1)....n_samples > n_features ** 2 . References [ 1 ] Rousseeuw,...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
LeaveOneOut — scikit-learn 1.8.0 document...
2 ], [ 3 , 4 ]]) >>> y = np . array ([ 1 , 2 ]) >>>...>>> loo . get_n_splits ( X ) 2 >>> print ( loo ) LeaveOneOut()...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html -
TweedieRegressor — scikit-learn 1.8.0 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.TweedieRegressor.html -
plot_discretization_strategies.ipynb
[2, 4], [8, 8]])\ncenters_1 = np.array([[0,...form(-3, 3, size=(n_samples, 2)),\n make_blobs(\n n_samples=[\n...scikit-learn.org/stable/_downloads/adc9be3b7acc279025dad9ee4ce92038/plot_discretization_strategie... -
GammaRegressor — scikit-learn 1.8.0 docum...
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.GammaRegressor.html -
Swiss Roll And Swiss-Hole Reduction — sci...
n_components = 2 ) sr_tsne = manifold . TSNE ( n_components = 2 , perplexity...n_components = 2 ) sh_tsne = manifold . TSNE ( n_components = 2 , perplexity...scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html -
FeatureHasher and DictVectorizer Comparison ...
'is': 2, 'one': 2, 'example': 1,...FeatureHasher is 2**20. Here we set n_features = 2**18 to illustrate...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
SelectorMixin — scikit-learn 1.8.0 docume...
mask [: 2 ] = True # select the first two...fit_transform ( X , y ) . shape (150, 2) fit_transform ( X , y = None...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectorMixin.html