.. _`Randomized Parameter Search`:

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

Randomized Parameter Search
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.. 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. 





Definition
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Input ports
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    **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
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    **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
    **iterations** (n_iter)
        Number of randomized searches done









Implementation
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.. automodule:: node_paramsearch
    :noindex:

.. class:: ParameterSearch_Randomized
    :noindex: