.. _`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.



**Documentation**

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


**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





.. automodule:: node_paramsearch
    :noindex:

.. class:: ParameterSearch_Grid
    :noindex: