.. _`Simple Train-Test Split`:

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

Simple Train-Test Split
```````````````````````

.. image:: traintest.svg
   :width: 48


Splits input data into a training and a test dataset





Definition
::::::::::


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

    **X**
        | Type: table
        | Description: X
    **Y**
        | Type: table
        | Description: Y
        | Optional number of ports: 0--1 (default: 1)
        

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

    **X_train**
        | Type: table
        | Description: X_train
    **Y_train**
        | Type: table
        | Description: Y_train
    **X_test**
        | Type: table
        | Description: X_test
    **Y_test**
        | Type: table
        | Description: Y_test



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

    **Stratify** (stratify)
        Stratify data using Y as class labels
    **Test size** (test_size)
        Size of test data as fraction (< 1) of all data







Examples
........





The node can be found in:

* :download:`Custom_ParameterSearch.syx </Examples/Sympathy for Data/MachineLearning/Custom_ParameterSearch.syx>`

* :download:`Metrics.syx </Examples/Sympathy for Data/MachineLearning/Metrics.syx>`

* :download:`Text_Classification.syx </Examples/Sympathy for Data/MachineLearning/Text_Classification.syx>`

* :download:`MNIST_Digits.syx </Examples/Sympathy for Data/MachineLearning/MNIST_Digits.syx>`

* :download:`Eigenfaces.syx </Examples/Sympathy for Data/MachineLearning/Eigenfaces.syx>`

* :download:`Polynomial_Features.syx </Examples/Sympathy for Data/MachineLearning/Polynomial_Features.syx>`

* :download:`Fisher_faces.syx </Examples/Advanced Machine Learning/Fisher_faces.syx>`

* :download:`random_forest_regressor.syx </Examples/Advanced Machine Learning/random_forest_regressor.syx>`




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

.. automodule:: node_crossvalidation
    :noindex:

.. class:: CrossVal_SimpleSplit
    :noindex: