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shuffle — scikit-learn 1.7.1 documentation
1.], [1., 0.]]) >>> y array([2, 1, 0]) >>> shuffle...>>> X = np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
OneHotEncoder — scikit-learn 1.7.1 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...'Female' , 1 ], [ 'Male' , 4 ]]) . toarray () array([[1., 0., 1., 0.,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html -
Hyperparameter — scikit-learn 1.7.1 documentation
n_elements = 1 , fixed = None ) [source] # A...the parameter. If n_elements>1, a pair of 1d array with n_elements...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html -
RFECV — scikit-learn 1.7.1 documentation
ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) For a detailed...estimator , * , step = 1 , min_features_to_select = 1 , cv = None , scoring...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
ExtraTreesClassifier — scikit-learn 1.7.1 docum...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html -
SGDOneClassSVM — scikit-learn 1.7.1 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...labels for X. Returns -1 for outliers and 1 for inliers. Parameters...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDOneClassSVM.html -
RandomForestClassifier — scikit-learn 1.7.1 doc...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html -
LinearDiscriminantAnalysis — scikit-learn 1.7.1...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
SpectralClustering — scikit-learn 1.7.1 documen...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . labels_ array([1, 1, 1, 0, 0, 0]) >>> clustering ...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html -
TSNE — scikit-learn 1.7.1 documentation
1 , 1 ], [ 1 , 0 , 1 ], [ 1 , 1 , 1 ]]) >>> X_embedded...metric function. Added in version 1.1. init {“random”, “pca”} or ndarray...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html