.. _`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

*Configuration*:


  - *n_jobs*

    The number of jobs to run in parallel for `fit`.
    ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.
    ``-1`` means using all processors. See n_jobs
    for more details.

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



*Attributes*:




*Input ports*:
    **model** : model
        model

*Output ports*:
    **out-model** : model
        Output model



**n_jobs** (n_jobs)
    The number of jobs to run in parallel for `fit`.
    ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.
    ``-1`` means using all processors. See n_jobs
    for more details.

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

.. automodule:: node_ensemble

.. class:: MultiOutputRegressor