Multi-output Regressor¶
Fits one regressor for each target of outputs. Useful for extending regressors that do not natively support multiple outputs
Definition¶
Input ports¶
- model 1 - 1, model
model
Output ports¶
- out-model model
Output model
Configuration¶
- Number of jobs (n_jobs)
The number of jobs to run in parallel.
fit()
,predict()
andpartial_fit()
(if supported by the passed estimator) will be parallelized for each target.When individual estimators are fast to train or predict, using
n_jobs > 1
can result in slower performance due to the parallelism overhead.
None
means 1 unless in ajoblib.parallel_backend
context.-1
means using all available processes / threads. See n_jobs for more details.Changed in version 0.20: n_jobs default changed from 1 to None.
Implementation¶
- class node_ensemble.MultiOutputRegressor[source]