- Sort Score
- Num 10 results
- Language All
- Labels All
Results 891 - 900 of over 10,000 for 2 (0.42 seconds)
Filter
-
Illustration of prior and posterior Gaussian pr...
0 ] - 2.5 ) ** 2 ) n_samples = 5 Kernel cookbook...0.799**2 * ExpSineSquared(length_scale=0.791, periodicity=2.87)...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
make_blobs — scikit-learn 1.8.0 documentation
2) >>> y array([0, 1, 2, 0, 2, 2, 2, 1, 1, 0]) Gallery...shape ) (10, 2) >>> y array([0, 0, 1, 0, 2, 2, 2, 1, 1, 0]) >>>...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html -
FastICA on 2D point clouds — scikit-learn 1.8.0...
subplot ( 2 , 2 , 2 ) plot_samples ( X / np ....1.5 , size = ( 20000 , 2 )) S [:, 0 ] *= 2.0 # Mix data A = np ....scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html -
GroupKFold — scikit-learn 1.8.0 documentation
Fold 0: Train: index=[2 3], group=[2 2] Test: index=[0 1 4 5],...group=[0 0 3 3] Test: index=[2 3], group=[2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
confusion_matrix — scikit-learn 1.8.0 documenta...
= [ 2 , 0 , 2 , 2 , 0 , 1 ] >>> y_pred = [ 0 , 0 , 2 , 2 , 0...0 , 2 ] >>> confusion_matrix ( y_true , y_pred ) array([[2, 0,...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
hinge_loss — scikit-learn 1.8.0 documentation
([[ - 2 ], [ 3 ], [ 0.5 ]]) >>> pred_decision array([-2.18, 2.36,...[ 1 ], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
GroupShuffleSplit — scikit-learn 1.8.0 document...
0: Train: index=[2 3 4 5 6 7], group=[2 2 2 3 3 3] Test: index=[0...3 3 3] Test: index=[2 3 4], group=[2 2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
LeavePOut — scikit-learn 1.8.0 documentation
3] Test: index=[0 2] Fold 2: Train: index=[1 2] Test: index=[0...array ([ 1 , 2 , 3 , 4 ]) >>> lpo = LeavePOut ( 2 ) >>> lpo ....scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html -
Multilabel classification — scikit-learn 1.8.0 ...
subplot ( 2 , 2 , subplot ) plt . title ( title..."none" , linewidths = 2 , label = "Class 2" , ) plot_hyperplane...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html -
inplace_swap_column — scikit-learn 1.8.0 ...
2 , 2 ]) >>> data = np . array ([ 8 , 2 , 5 ])...>>> indptr = np . array ([ 0 , 2 , 3 , 3 , 3 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.html