The Python transformation is a passive transformation that provides an interface to define transformation functionality using Python code. You reference the Python code and the resource files that you use in the Python code within the Python transformation.

You can use a Python transformation to implement a machine model on the data that you pass to the transformation. For example, you can use the Python transformation to write Python code that loads a pre-trained model. You can use the pre-trained model to classify input data or create predictions.

Before you can use the Python transformation, you must install Python and Jep and prepare the Spark engine to run the Python transformation.