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train_test_split — scikit-learn 1.8.0 documenta...
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...1.4 0.2 122 7.7 2.8 6.7 2.0 >>> y_train . head () 96 1 105 2 66...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
VotingClassifier — scikit-learn 1.8.0 documenta...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
smacof — scikit-learn 1.8.0 documentation
2 ], [ 1 , 0 , 3 ], [ 2 , 3 , 0 ]]) >>> dissimilarities...metric = True , n_components = 2 , init = None , n_init = 'warn'...scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html -
Plot the decision surfaces of ensembles of tree...
2 , w_pad = 0.2 , pad = 2.5 ) plt . show ()...pair in ([ 0 , 1 ], [ 0 , 2 ], [ 2 , 3 ]): for model in models...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html -
8.3. Generated datasets — scikit-learn 1.8.0 do...
"n_clusters_per_class" : 2 , "n_classes" : 2 }, { "n_informative" : 2 , "n_clusters_per_class"...1 , "n_classes" : 2 }, { "n_informative" : 2 , "n_clusters_per_class"...scikit-learn.org/stable/datasets/sample_generators.html -
로그 설정
/^\d{4}-\d{2}-\d{2}/ format1 /^(?<time>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2},\d{3})...\d{2}:\d{2}:\d{2},\d{3}) \[(?<thread>.*?)\] (?<level>\w+)\s+(?<logger>.*?)...fess.codelibs.org/ko/15.5/config/admin-logging.html -
IncrementalPCA — scikit-learn 1.8.0 documentation
[ - 2 , - 1 ], [ - 3 , - 2 ], ... [ 1 , 1 ], [ 2 , 1 ], [...O(batch_size * n_features ** 2) , but only 2 * batch_size samples remain...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
decomposition.rst.txt
\frac{1}{2} ||X - Y||_{\mathrm{Fro}}^2 = \frac{1}{2} \sum_{i,j}...Y) = \frac{1}{2} ||X - Y||_{Fro}^2 = \frac{1}{2} \sum_{i,j} (X_{ij}...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
make_friedman2 — scikit-learn 1.8.0 documentation
0 ] ** 2 + ( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1...[source] # Generate the “Friedman #2” regression problem. This dataset...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.html -
RegressorMixin — scikit-learn 1.8.0 documentation
2 ], [ 2 , 3 ], [ 3 , 4 ]]) >>> y =...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html