The Python transformation uses resource files and the Python code to define the transformation functionality. If you use a pre-trained model, you specify the pre-trained model as a resource file in the Python transformation.
The Python transformation contains the following components:
A file that contains the resources that you access in the Python code.
The file can be a pre-trained model that has been trained on a larger data set outside
. You can use the pre-trained model to classify data or make predictions based on the data that you pass to the Python transformation. You can access the pre-trained model in the Python code.
The Python code that the Python transformation uses to process data that you pass to the transformation. When you write Python code, you might reconstruct input variables, load a pre-trained model, or define output variables.