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

Attributes:

Input ports:

modelmodel

model

Output ports:

out-modelmodel

Output model

Definition

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