.. _`Transform`:

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

Transform
`````````

.. image:: transform.svg
   :width: 48


Applies a transformation model to the given data




Documentation
:::::::::::::

Apply transformation model to data. The models implementation of .transform() is used to
transform the given data. A transformation model does not predict anything, it only transforms
the data (e.g. scaling, encoding, dimensionality reduction). It returns a modified version of
the input data.


Definition
::::::::::


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

    **in-model**
        | Type: model
        | Description: Input model
    **input**
        | Type: table
        | Description: Input table

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

    **output**
        | Type: table
        | Description: Output table



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

    **Output names** (names method)
        Method used to generate output names
    **Transpose output** (transpose)
        Transposes output data, suitable for large number of features (eg. word counts)







Examples
........





The node can be found in:

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




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

.. automodule:: node_application
    :noindex:

.. class:: Transform
    :noindex: