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CCA — scikit-learn 1.7.0 documentation
[ 2. , 2. , 2. ], [ 3. , 5. , 4. ]] >>>...y = [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 ,...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
RobustScaler — scikit-learn 1.7.0 documentation
- 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 -
make_moons — scikit-learn 1.7.0 documentation
2 , random_state = 42 ) >>> X . shape (200, 2) >>> y ....n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
index.css
--sk-landing-bg-2: var(--sk-cyan-shades-2); --sk-landing-bg-3:...var(--sk-cyan-shades-3); --sk-landing-bg-2: var(--sk-cyan); --sk-landing-bg-3:...scikit-learn.org/stable/_static/styles/index.css -
OneHotEncoder — scikit-learn 1.7.0 documentation
Features with 1 or more than 2 categories are left intact. array...(CSR) format. Added in version 1.2: sparse was renamed to sparse_output...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html -
VotingRegressor — scikit-learn 1.7.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4 , 16 ],...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
LinearDiscriminantAnalysis — scikit-learn 1.7.0...
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.discriminant_analysis.LinearDiscriminantAnalysi... -
HashingVectorizer — scikit-learn 1.7.0 document...
2) means unigrams and bigrams, and (2, 2) means only...n_features is large enough (e.g. 2 ** 18 for text classification...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html -
mutual_info_regression — scikit-learn 1.7.0 doc...
[ 2 ] ( 1 , 2 ) A. Kraskov, H. Stogbauer...neighbors distances as described in [2] and [3] . Both methods are based...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
cluster_optics_dbscan — scikit-learn 1.7.0 docu...
2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8... ( ... X , ... min_samples = 2 , ... max_eps = np . inf , ......scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html