Multi-output classifier

../../../../_images/multioutput.svg

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 a joblib.parallel_backend context. -1 means using all processors. See n_jobs for more details.
Attributes:
Inputs:
model : model

model
Outputs:
out-model : model

Output model
Input ports:
model:

model

model
Output ports:
out-model:

model

Output model
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 a joblib.parallel_backend context. -1 means using all processors. See n_jobs for more details.

Some of the docstrings for this module have been automatically extracted from the scikit-learn library and are covered by their respective licenses.

class node_ensemble.MultiOutputClassifier[source]