A python library for building machine learning models on Databricks using a federated data source
The SAP Federated ML Python library for Databricks applies the Data Federation architecture of SAP Datasphere for intelligently sourcing SAP as well as non-SAP data for Machine Learning experiments done in Databricks, thereby removing the need for replicating or moving the data. By abstracting the Data Connection, Data load, Model Deployment in SAP environment, and Inferencing for Machine learning processes , the FedML Databricks library provides end to end integration with few lines of code.
Install the SAP FedML Databricks library using pip as follows:
pip install fedml-databricks
For getting started with the SAP FedML Databricks Library and for documentation and sample notebooks, please refer the SAP FedML Databricks github page link
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A python library for building machine learning models on Databricks using a federated data source
We found that fedml-databricks demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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