.. _`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 parameter values in each such cube will be sampled.





Definition
::::::::::


Input ports
...........

    **in-model**  model
        in-model

    **parameter space**  [table]
        param-space

    **X**  table
        X

    **Y**  table
        Y

    **cross-validation** 0 - 1,  [(table,table)]
        cross-validation


Output ports
............

    **results**  table
        results

    **parameters**  table
        parameters

    **out-model**  model
        out-model




Configuration
.............

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









Implementation
..............

.. automodule:: node_paramsearch
    :noindex:

.. class:: ParameterSearch_Grid
    :noindex: