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make_regression — scikit-learn 1.7.2 documentation
1.523], [-0.2341, -0.2341], [-0.4694, 0.5425], [ 1.579,...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 On this...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
KernelRidge — scikit-learn 1.7.2 documentation
alpha = 1.0 ) >>> krr . fit ( X , y ) KernelRidge(alpha=1.0) fit...sklearn.kernel_ridge. KernelRidge ( alpha = 1 , * , kernel = 'linear' , gamma...scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html -
GridSearchCV — scikit-learn 1.7.2 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...0.70 … 4 ‘rbf’ 0.1 – 0.80 … 3 ‘rbf’ 0.2 – 0.93 … 1 will be represented...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
ConstantKernel — scikit-learn 1.7.2 documentation
\[k(x_1, x_2) = constant\_value \;\forall\; x_1, x_2\] Adding...predict ( X [: 1 ,:], return_std = True ) (array([606.1]), array([0.248]))...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html -
make_gaussian_quantiles — scikit-learn 1.7.2 do...
dataset is from Zhu et al [1]. References [ 1 ] Zhu, H. Zou, S. Rosset,...es ( * , mean = None , cov = 1.0 , n_samples = 100 , n_features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
TunedThresholdClassifierCV — scikit-learn 1.7.2...
means 1 unless in a joblib.parallel_backend context. -1 means...... n_samples = 1_000 , weights = [ 0.9 , 0.1 ], class_sep = 0.8...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html -
auc — scikit-learn 1.7.2 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_swiss_roll — scikit-learn 1.7.2 documentation
algorithm is from Marsland [1]. References [ 1 ] S. Marsland, “Machine...from Stephen Marsland’s code [1]. Parameters : n_samples int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
LassoLarsCV — scikit-learn 1.7.2 documentation
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 -
MinCovDet — scikit-learn 1.7.2 documentation
algorithm: (n_samples + n_features + 1) / 2 * n_samples . The parameter...parameter must be in the range (0, 1]. random_state int, RandomState...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html