Python runtime for Hydrosphere Serving. Provides a GRPC API for Python scripts.
Supported versions are: python-3.7 python-3.8
make testmake python-${VERSION}- build docker runtime with python:${VERSION}-alpine base imagemake clean- clean repository from temp files
This runtime uses src/func_main.py script as an entry point. You may create any arbitrary Python application within, just keep in mind that the entry point of your script has to be located in src/func_main.py.
Example of a func_main.py:
import pandas as pd from joblib import load # Load an ML model during runtime initialisation clf = load('/model/files/classification_model.joblib') # This function is called on each request # Input and output must comply with your model's signature def predict(**kwargs): # kwargs is a dict with Numpy arrays or scalars you've specified in a signature x = pd.DataFrame.from_dict({"request": kwargs}).T predicted = clf.predict(x) return {"income": int(predicted)}or if you wish to work with proto messages:
return {"income": TensorProto(int_val=[int(predicted)], dtype=DT_INT32, tensor_shape=TensorShapeProto())}