Multi-output classifier

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:

Input ports:

model : model

model

Output ports:

out-model : model

Output model

n_jobs (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