.. _`Grid Parameter Search`:

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

Grid Parameter Search
~~~~~~~~~~~~~~~~~~~~~

.. image:: hyperparam.svg
   :width: 48


Evaluates each parameter combination in the set of parameter hypercubes given by each table in the list of parameter tables. Each parameter table specify a hypercube of dimension N where N is the number of columns in the table. Every combination of paramater values in each such cube will be sampled.

:Configuration:




:Inputs:
    **in-model** : model
        in-model
    **parameter space** : [table]
        param-space
    **X** : table
        X
    **Y** : table
        Y
    **cross-validation** : [(table,table)]
        cross-validation

:Outputs:
    **results** : table
        results
    **parameters** : table
        parameters
    **out-model** : model
        out-model

*Ports*:

    **Inputs**:

        :in-model: model

            in-model
        :parameter space: [table]

            param-space
        :X: table

            X
        :Y: table

            Y
        :cross-validation: [(table,table)]

            cross-validation

    **Outputs**:

        :results: table

            results
        :parameters: table

            parameters
        :out-model: model

            out-model

*Configuration*:

    **cv**
        Number of fold in the default K-Fold cross validation. Ignored when cross-validation port is given

.. automodule:: node_paramsearch

.. class:: ParameterSearch_Grid