@@ -529,6 +529,37 @@ using data obtained at a certain location. Each sample would be data
529
529
obtained at one location and both wind speed and direction would be
530
530
output for each sample.
531
531
532
+ The following regressors natively support multioutput regression:
533
+
534
+ - :class: `cross_decomposition.CCA `
535
+ - :class: `tree.DecisionTreeRegressor `
536
+ - :class: `dummy.DummyRegressor `
537
+ - :class: `linear_model.ElasticNet `
538
+ - :class: `tree.ExtraTreeRegressor `
539
+ - :class: `ensemble.ExtraTreesRegressor `
540
+ - :class: `gaussian_process.GaussianProcessRegressor `
541
+ - :class: `neighbors.KNeighborsRegressor `
542
+ - :class: `kernel_ridge.KernelRidge `
543
+ - :class: `linear_model.Lars `
544
+ - :class: `linear_model.Lasso `
545
+ - :class: `linear_model.LassoLars `
546
+ - :class: `linear_model.LinearRegression `
547
+ - :class: `multioutput.MultiOutputRegressor `
548
+ - :class: `linear_model.MultiTaskElasticNet `
549
+ - :class: `linear_model.MultiTaskElasticNetCV `
550
+ - :class: `linear_model.MultiTaskLasso `
551
+ - :class: `linear_model.MultiTaskLassoCV `
552
+ - :class: `linear_model.OrthogonalMatchingPursuit `
553
+ - :class: `cross_decomposition.PLSCanonical `
554
+ - :class: `cross_decomposition.PLSRegression `
555
+ - :class: `linear_model.RANSACRegressor `
556
+ - :class: `neighbors.RadiusNeighborsRegressor `
557
+ - :class: `ensemble.RandomForestRegressor `
558
+ - :class: `multioutput.RegressorChain `
559
+ - :class: `linear_model.Ridge `
560
+ - :class: `linear_model.RidgeCV `
561
+ - :class: `compose.TransformedTargetRegressor `
562
+
532
563
Target format
533
564
-------------
534
565
0 commit comments