.. _`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`. If -1,
    then the number of jobs is set to the number of cores.
    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:




:Inputs:
    **model** : model
        model

:Outputs:
    **out-model** : model
        Output model

*Ports*:

    **Inputs**:

        :model: model

            model

    **Outputs**:

        :out-model: model

            Output model

*Configuration*:

    **n_jobs**
        The number of jobs to run in parallel for `fit`. If -1,
        then the number of jobs is set to the number of cores.
        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