.. _`Multi-output Regressor`:

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

Multi-output Regressor
``````````````````````

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


Fits one regressor for each target of outputs. Useful for extending regressors that do not natively support multiple outputs





Definition
::::::::::


Input ports
...........

    **model** 1 - 1,  model
        model


Output ports
............

    **out-model**  model
        Output model




Configuration
.............

    **Number of jobs** (n_jobs)
        The number of jobs to run in parallel.
        :meth:`fit`, :meth:`predict` and :meth:`partial_fit` (if supported
        by the passed estimator) will be parallelized for each target.

        When individual estimators are fast to train or predict,
        using ``n_jobs > 1`` can result in slower performance due
        to the parallelism overhead.

        ``None`` means `1` unless in a :obj:`joblib.parallel_backend` context.
        ``-1`` means using all available processes / threads.
        See n_jobs for more details.

        .. versionchanged:: 0.20
            `n_jobs` default changed from `1` to `None`.









Implementation
..............

.. automodule:: node_ensemble
    :noindex:

.. class:: MultiOutputRegressor
    :noindex: