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ShrunkCovariance — scikit-learn 1.8.0 documenta...
covariance_ array([[0.7387, 0.2536], [0.2536, 0.4110]]) >>> cov ..... location_ array([0.0622, 0.0193]) error_norm ( comp_cov , norm...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
load_files — scikit-learn 1.8.0 documentation
random_state = 0 , allowed_extensions = None )...RandomState instance or None, default=0 Determines random number generation...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_files.html -
fetch_olivetti_faces — scikit-learn 1.8.0 docum...
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the Olivetti...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html -
make_gaussian_quantiles — scikit-learn 1.8.0 do...
use the origin (0, 0, …). cov float, default=1.0 The covariance...mean = None , cov = 1.0 , n_samples = 100 , n_features = 2 , n_classes...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
make_biclusters — scikit-learn 1.8.0 documentation
noise = 0.0 , minval = 10 , maxval = 100 , shuffle = True...biclusters. noise float, default=0.0 The standard deviation of the...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html -
is_clusterer — scikit-learn 1.8.0 documentation
Added in version 1.6. Parameters : estimator estimator...scikit-learn.org/stable/modules/generated/sklearn.base.is_clusterer.html -
is_outlier_detector — scikit-learn 1.8.0 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version is_outlier_detector # sklearn.base. is_outlier_detect...scikit-learn.org/stable/modules/generated/sklearn.base.is_outlier_detector.html -
NotFittedError — scikit-learn 1.8.0 documentation
predict ([[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ]])...estimator."...) Changed in version 0.18: Moved from sklearn.utils.validation....scikit-learn.org/stable/modules/generated/sklearn.exceptions.NotFittedError.html -
SparsePCA — scikit-learn 1.8.0 documentation
alpha = 1 , ridge_alpha = 0.01 , max_iter = 1000 , tol = 1e-08 , method...components. ridge_alpha float, default=0.01 Amount of ridge shrinkage to...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html -
GradientBoostingClassifier — scikit-learn 1.8.0...
learning_rate = 0.1 , n_estimators = 100 , subsample = 1.0 , criterion...validation_fraction = 0.1 , n_iter_no_change = None , tol = 0.0001 , ccp_alpha...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html