parallel make_prediction in postprocessing

Parallel make prediction in postprocessing

The make_prediction call is currently working serially which consumes a lot of time! Implement an updated and faster version using a parallel approach.

Keep in mind, that the keras model cannot be used in a parallel process and must be reloaded in the parallel approach!

To load model use:

model = keras.models.load_model(model_name, custom_objects=model_class.custom_objects)

• read the following and check if this solution works: https://python.tutorialink.com/predicting-in-parallel-using-concurrent-futures-of-tensorflow-keras-models/