.. _`Learning Curve`:

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

Learning Curve
~~~~~~~~~~~~~~

.. image:: learning_curve.svg
   :width: 48


Generates a learning curve by training model multiple timeson incrementally larger subsets of the data and using cross validation for scoring. Plot performance of train-mean vs. test-mean for curve.



**Documentation**




**Definition**


*Input ports*

    :model:  model

        Model

    :X:  table

        X

    :Y:  table

        Y


*Output ports*

    :results:  table

        results

    :statistics:  table

        statistics



*Configuration*:
    **Shuffle** (shuffle)
        Randomizes the input dataset before passed to internal cross validation
    **Smallest fraction** (smallest)
        Size of the smallest dataset as fraction of total
    **Steps** (steps)
        Number of different sizes of training/test data measured
    **Cross validation folds** (cv)
        Number of fold of cross-validation (minimum 2)

.. automodule:: node_metrics
    :noindex:

.. class:: LearningCurve
    :noindex: