.. _`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.





Definition
::::::::::


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

    **model**  model
        Model

    **X**  table
        X

    **Y**  table
        Y


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

    **results**  table
        results

    **statistics**  table
        statistics




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

    **Cross validation folds** (cv)
        Number of fold of cross-validation (minimum 2)
    **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









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

.. automodule:: node_metrics
    :noindex:

.. class:: LearningCurve
    :noindex: