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Sum — scikit-learn 1.8.0 documentation
y ) 1.0 >>> kernel 1.41**2 + RBF(length_scale=1) __call__...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.html -
load_wine — scikit-learn 1.8.0 documentation
1, 2]) >>> list ( data . target_names...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html -
Nearest Neighbors regression — scikit-learn 1.8...
1 , i + 1 ) plt . scatter ( X_train...sort ( 5 * rng . rand ( 40 , 1 ), axis = 0 ) X_test = np . linspace...scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html -
Incremental PCA — scikit-learn 1.8.0 documentation
scatterpoints = 1 ) plt . axis ([ - 4 , 4 , - 1.5 , 1.5 ]) plt . show...target_name in zip ( colors , [ 0 , 1 , 2 ], iris . target_names ):...scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html -
cross_val_score — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 SVM-Anova:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
Quantile regression — scikit-learn 1.8.0 docume...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Lagged features...axs [ 1 , 0 ] . set_xlabel ( "Residuals" ) _ = axs [ 1 , 1 ] ....scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html -
Getting Started — scikit-learn 1.8.0 documentation
dataset is easy array([1., 1., 1., 1., 1.]) Automatic parameter...transform ( X ) array([[-1., 1.], [ 1., -1.]]) Sometimes, you want...scikit-learn.org/stable/getting_started.html -
SGD: Penalties — scikit-learn 1.8.0 documentation
[( - 1 , - 1 )], ) plt . clabel ( l2_contour , inline = 1 , fontsize...18 , fmt = { 1.0 : "L2" }, manual = [( - 1 , - 1 )]) plt . clabel...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.html -
Product — scikit-learn 1.8.0 documentation
y ) 1.0 >>> kernel 1.41**2 * RBF(length_scale=1) __call__...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html -
cross_val_predict — scikit-learn 1.8.0 document...
means 1 unless in a joblib.parallel_backend context. -1 means...GroupKFold ). Changed in version 1.4: groups can only be passed if...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html