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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 -
QuantileRegressor — scikit-learn 1.8.0 document...
alpha = 1.0 , fit_intercept = True , solver...User Guide . Added in version 1.0. Parameters : quantile float,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
RegressorTags — scikit-learn 1.8.0 documentation
n_informative=1, bias=5.0, noise=20, random_state=42)...scikit-learn.org/stable/modules/generated/sklearn.utils.RegressorTags.html -
FeatureHasher and DictVectorizer Comparison — s...
{'that': 1, 'is': 2, 'one': 2, 'example': 1, 'but': 1, 'this':...'this': 1, 'another': 1}) Observe in particular that the repeated token...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
DummyRegressor — scikit-learn 1.8.0 documentation
1.0], default=None The quantile...while 0.0 to the minimum and 1.0 to the maximum. Attributes :...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
check_scalar — scikit-learn 1.8.0 documentation
min_val = 1 , max_val = 20 ) 10 On this page...scikit-learn.org/stable/modules/generated/sklearn.utils.check_scalar.html -
NotFittedError — scikit-learn 1.8.0 documentation
predict ([[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.exceptions.NotFittedError.html -
safe_mask — scikit-learn 1.8.0 documentation
csr_matrix >>> data = csr_matrix ([[ 1 ], [ 2 ], [ 3 ], [ 4 ], [ 5 ]])...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html -
SelectFwe — scikit-learn 1.8.0 documentation
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFwe.html -
Nearest Neighbors Classification — scikit-learn...
feature_names [ 1 ], shading = "auto" , alpha =.... iloc [:, 0 ], X . iloc [:, 1 ], c = y , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html