.. _`Score`:

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

Score
`````

.. image:: score.svg
   :width: 48


Scores the model using given X and Y data. Exact semantics
depends on the type of model (classifier, regressor, etc).





Definition
::::::::::


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

    **in-model**  model
        Input model

    **X**  table
        X

    **Y**  table
        Y


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

    **Score**  table
        Score




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

    **Use built-in default scoring** (default method)
        Uses the default scoring method defined by the used model.
        Semantics of the scoring depend on the type of node

        (classifier, regressor, etc). Otherwise the problem is assumed
        to be a classification problem, a single predict call is
        made and extended information is given for each target.
        If model does not implement the predict function then a
        transform is used instead.









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

.. automodule:: node_application
    :noindex:

.. class:: Score
    :noindex: