.. _`Randomized Parameter Search`:

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

Randomized Parameter Search
~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. image:: random_hyperparam.svg
   :width: 48


Performs a randomized parameter search returning scores and best model found. Uses table as a "hypercube" of parameters to sample from. Ie. all combinations of parameters from all columns have equal chance of beeing sampled. Use masked values for parameter/columns with different lengths.

:Configuration:


  - *cv*

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

  - *n_iter*

    Number of randomized searches done



: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
    **n_iter**
        Number of randomized searches done

.. automodule:: node_paramsearch

.. class:: ParameterSearch_Randomized