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CountVectorizer — scikit-learn 1.5.2 documentation
2) means unigrams and bigrams, and (2, 2) means only...= 'word' , ngram_range = ( 2 , 2 )) >>> X2 = vectorizer2 . fit_transform...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
StackingRegressor — scikit-learn 1.5.2 document...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...generalization.” Neural networks 5.2 (1992): 241-259. Examples >>>...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html -
OneVsRestClassifier — scikit-learn 1.5.2 docume...
2 , 2 ]) >>> clf = OneVsRestClassifier...9 , 9 ], [ - 5 , 5 ]]) array([2, 0, 1]) decision_function ( X...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html -
2.5. Decomposing signals in components (matrix ...
o)}{2} ||H||_{\mathrm{Fro}} ^ 2) * n\_samples\] 2.5.7.2. NMF...2009 2.5.2. Kernel Principal Component Analysis (kPCA) # 2.5.2.1....scikit-learn.org/stable/modules/decomposition.html -
SGDClassifier — scikit-learn 1.5.2 documentation
[ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>> Y = np...np . array ([ 1 , 1 , 2 , 2 ]) >>> # Always scale the input. The...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html -
PartialDependenceDisplay — scikit-learn 1.5.2 d...
2 Release Highlights for scikit-learn 1.2 Release Highlights...‘both’) is not a valid option for 2-ways interactions plot. As a result,...scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html -
MiniBatchKMeans — scikit-learn 1.5.2 documentation
[ 2 , 2 ], ... [ 3 , 2 ], [ 5 , 5 ], [ 1 ,...array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 0...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html -
GradientBoostingClassifier — scikit-learn 1.5.2...
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.GradientBoostingClassifier.html -
make_circles — scikit-learn 1.5.2 documentation
n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...ndarray of shape (n_samples, 2) The generated samples. y ndarray...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
SpectralBiclustering — scikit-learn 1.5.2 docum...
[ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...SpectralBiclustering ( n_clusters = 2 , random_state = 0 ) . fit ( X...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html