Access SAP Data Intelligence Machine Learning with the Python SDK

[architectSAP]

When accessing a file from the SAP Data Intelligence Jupyter Lab, code leveraging the SAP Data Intelligence Machine Learning Python SDK is generated:

To use this SDK in a custom SAP Data Intelligence Operator, I add the sapdi Tag:

Which draws the com.sap.dsp.linuxx86_64/dsp-core-operators-docker Docker File:

That allows me to use the same code to access my file as from the Jupyter Lab and I output its head respectively:

Putting my Custom Operator in a simple Data Pipeline:

I get the expected result in my Wiretap:

Of course, this is only a simple example and the Python SDK provides a lot more functionality around:

• Create and access ML scenarios and their versions, as well as to retrieve and update metadata


• Create configurations, and start executions and deployments


• Create and update pipelines and bind them to ML scenarios


• Access artifacts from training containers


• Report metrics through the ML Tracking SDK