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sklearn.dummy — scikit-learn 1.8.0 documentation
Dummy estimators that implement simple rules of thumb. User guide. See the Metrics and scoring: quantifying the quality of predictions section for further details.scikit-learn.org/stable/api/sklearn.dummy.html -
SGDOneClassSVM — scikit-learn 1.8.0 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...nu = 0.5 , fit_intercept = True , max_iter = 1000 , tol = 0.001...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDOneClassSVM.html -
enet_path — scikit-learn 1.8.0 documentation
array([[ 0., 0.787, 0.568], [ 0., 1.120, 0.620], [-0., -2.129,...-2.129, -1.128], [ 0., 23.046, 88.939], [ 0., 10.637, 41.566]]) Gallery...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
jaccard_score — scikit-learn 1.8.0 documentation
array ([[ 0 , 1 , 1 ], ... [ 1 , 1 , 0 ]]) >>> y_pred =...= np . array ([[ 1 , 1 , 1 ], ... [ 1 , 0 , 0 ]]) In the binary...scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html -
smacof — scikit-learn 1.8.0 documentation
0.05 good, 0.1 fair, and 0.2 poor [1] . n_iter int The number...array ([[ 0 , 1 , 2 ], [ 1 , 0 , 3 ], [ 2 , 3 , 0 ]]) >>> dissimilarities...scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html -
KernelRidge — scikit-learn 1.8.0 documentation
alpha = 1.0 ) >>> krr . fit ( X , y ) KernelRidge(alpha=1.0) fit...shape (n_targets,), default=1.0 Regularization strength; must...scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html -
TfidfTransformer — scikit-learn 1.8.0 documenta...
array([[1, 1, 1, 1, 0, 1, 0, 0], [1, 2, 0, 1, 1, 1, 0, 0], [1, 0,...0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 0, 1, 0, 0]]) >>> pipe [ 'tfid'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
LocallyLinearEmbedding — scikit-learn 1.8.0 doc...
reg = 0.001 , eigen_solver = 'auto' , tol = 1e-06 , max_iter...max_iter = 100 , method = 'standard' , hessian_tol = 0.0001 , modified_tol...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
SelectPercentile — scikit-learn 1.8.0 documenta...
Added in version 0.18. percentile int, default=10 Percent of features...all strings. Added in version 1.0. See also f_classif ANOVA F-value...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
VarianceThreshold — scikit-learn 1.8.0 document...
X = [[ 0 , 2 , 0 , 3 ], [ 0 , 1 , 4 , 3 ], [ 0 , 1 , 1 , 3 ]]...fit_transform ( X ) array([[2, 0], [1, 4], [1, 1]]) fit ( X , y = None...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html