Multi-output Classifier¶
Fits one classifier for each target of outputs. Useful for extending classifiers that do not natively support multiple outputs
Documentation
Fits one classifier for each target of outputs. Useful for extending classifiers that do not natively support multiple outputs
Configuration:
n_jobs
The number of jobs to use for the computation. It does each target variable in y in parallel.
None
means 1 unless in ajoblib.parallel_backend
context.-1
means using all processors. See n_jobs for more details.Changed in version v0.20: n_jobs default changed from 1 to None
Attributes:
- Input ports:
- modelmodel
model
- Output ports:
- out-modelmodel
Output model
Definition
Input ports
- model
1 - 1, model
model
Output ports
- out-model
model
Output model