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compute_sample_weight — scikit-learn 1.8....
[{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"...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_sample_weight.html -
TransformedTargetRegressor — scikit-learn 1.8.0...
reshape ( - 1 , 1 ) >>> y = np . exp ( 2 * X )...all strings. Added in version 1.0. See also sklearn.preproces...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
Product — scikit-learn 1.8.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html -
orthogonal_mp — scikit-learn 1.8.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp.html -
Exponentiation — scikit-learn 1.8.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Exponentiation.html -
l1_min_c — scikit-learn 1.8.0 documentation
intercept_scaling = 1.0 ) [source] # Return the lowest...sticRegression with l1_ratio=1 . This value is valid if class_weight...scikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html -
Feature discretization — scikit-learn 1.8.0 doc...
logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (..."linearsvc__C" : np . logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
FastICA — scikit-learn 1.8.0 documentation
The implementation is based on [1] . Read more in the User Guide...performed. Changed in version 1.3: The default value of whiten...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html -
sklearn.preprocessing — scikit-learn 1.8.0 docu...
Scale each feature to the [-1, 1] range without breaking the...data (set feature values to 0 or 1) according to a threshold. FunctionTransformer...scikit-learn.org/stable/api/sklearn.preprocessing.html -
Classifier comparison — scikit-learn 1.8.0 docu...
C = 1 , random_state = 42 ), GaussianProcessClass ( 1.0 * RBF...max_features = 1 , random_state = 42 ), MLPClassifier ( alpha = 1 , max_iter...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html