Python Numpy Array in ML Services

Published: 07 November 2021
on channel: Andrej Baranovskij

229

It can be not obvious how to pass Numpy array across separate services when running ML infra in separate containers. When data preparation service runs in a different container than training service. In this tutorial, I show how to convert Numpy to list and JSON to be able to send it through RabbitMQ message broker and consume it on the receiver side.

Katana ML Skipper code:
https://github.com/katanaml/katana-sk...

0:00 Introduction
0:44 Skipper
2:16 Example
7:48 Summary

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