.. _`Multi-output classifier`:

.. _`org.sysess.sympathy.machinelearning.multioutput_classifier`:

Multi-output classifier
~~~~~~~~~~~~~~~~~~~~~~~

.. image:: multioutput.svg
   :width: 48


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 :obj:`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 :obj:`joblib.parallel_backend` context.
        ``-1`` means using all processors. See n_jobs
        for more details.

.. automodule:: node_ensemble

.. class:: MultiOutputClassifier