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fetch_file — scikit-learn 1.8.0 documentation
delay = 1 ) [source] # Fetch a file from...re-downloading. Added in version 1.6. Parameters : url str URL of...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_file.html -
PCA — scikit-learn 1.8.0 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...more details. Added in version 1.1. power_iteration_normalizer {‘auto’,...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
DictVectorizer — scikit-learn 1.8.0 documentation
[{ 'foo' : 1 , 'bar' : 2 }, { 'foo' : 3 , 'baz' : 1 }] >>> X =...) >>> X array([[2., 0., 1.], [0., 1., 3.]]) >>> v . inverse_transform...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
auc — scikit-learn 1.8.0 documentation
array ([ 1 , 1 , 2 , 2 ]) >>> y_score = np . array ([ 0.1 , 0.4...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
make_regression — scikit-learn 1.8.0 documentation
1.523], [-0.2341, -0.2341], [-0.4694, 0.5425], [ 1.579,...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Release...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
ClassNamePrefixFeaturesOutMixin — scikit-learn ...
shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2 ], [...scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html -
TheilSenRegressor — scikit-learn 1.8.0 document...
means 1 unless in a joblib.parallel_backend context. -1 means...the number of features (plus 1 if fit_intercept=True) and the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
max_error — scikit-learn 1.8.0 documentation
1 ] >>> y_pred = [ 4 , 2 , 7 , 1 ] >>> max_error...max_error ( y_true , y_pred ) 1.0 On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.max_error.html -
RidgeClassifier — scikit-learn 1.8.0 documentation
converts the target values into {-1, 1} and then treats the problem...sklearn.linear_model. RidgeClassifier ( alpha = 1.0 , * , fit_intercept = True ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html -
A demo of the Spectral Biclustering algorithm —...
consensus score: 1.0 The score is between 0 and 1, where 1 corresponds...and adds 1 to each to ensure that the labels start from 1 instead...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html