.. _`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. If -1 all CPUs are used.
    If 1 is given, no parallel computing code is used at all, which is
    useful for debugging. For n_jobs below -1, (n_cpus + 1 + n_jobs) are
    used. Thus for n_jobs = -2, all CPUs but one are used.
    The number of jobs to use for the computation.
    It does each target variable in y in parallel.




: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 use for the computation. If -1 all CPUs are used.
        If 1 is given, no parallel computing code is used at all, which is
        useful for debugging. For n_jobs below -1, (n_cpus + 1 + n_jobs) are
        used. Thus for n_jobs = -2, all CPUs but one are used.
        The number of jobs to use for the computation.
        It does each target variable in y in parallel.

.. automodule:: node_ensemble

.. class:: MultiOutputClassifier