.. _`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*:




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

*Output ports*:
    **results** : table
        results
    **parameters** : table
        parameters
    **out-model** : model
        out-model



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

.. automodule:: node_paramsearch

.. class:: ParameterSearch_Grid