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ClassNamePrefixFeaturesOutMixin — scikit-...
shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2...scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html -
PLSSVD — scikit-learn 1.8.0 documentation
1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9...np . array ([[ 0. , 0. , 1. ], ... [ 1. , 0. , 0. ], ... [ 2. ,...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
SVM Tie Breaking Example — scikit-learn 1...
1 ] . min (), X [:, 1 ] . max ()] xs = np...xlim [ 1 ], 1000 ) ys = np . linspace ( ylim [ 0 ], ylim [ 1 ], 1000...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
TunedThresholdClassifierCV — scikit-learn...
means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 On this...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html -
Understanding the decision tree structure ̵...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html -
2.1. Gaussian mixture models — scikit-lea...
1.1. Gaussian Mixture # The GaussianMixture...models using a finite mixture. 2.1.2.1. The Dirichlet Process # Here...scikit-learn.org/stable/modules/mixture.html -
Monotonic Constraints — scikit-learn 1.8....
versionchanged:: 1.1 Added option 'quantile'. .. versionchanged:: 1.3 Added...versionchanged:: 1.1 Added option 'quantile'. .. versionchanged:: 1.3 Added...scikit-learn.org/stable/auto_examples/ensemble/plot_monotonic_constraints.html -
LassoLarsCV — scikit-learn 1.8.0 document...
means 1 unless in a joblib.parallel_backend context. -1 means...optimization objective for Lasso is: ( 1 / ( 2 * n_samples )) * || y -...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html -
ridge_regression — scikit-learn 1.8.0 doc...
0 ] - 1.0 * X [:, 1 ] + 0.1 * rng . standard_normal...>>> coef array([ 1.97, -1., -2.69e-3, -9.27e-4 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ridge_regression.html -
Visualizing the probabilistic predictions of a ...
uniform ( low =- 1 , high = 1 , size = ( n_samples , 2...xor [ "Feature #1" ] + noise [:, 1 ] > 0 ) X = xor...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html