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A python library for building machine learning models on Google Cloud Platform using a federated data source

Project description

Introduction

The SAP Federated ML Python libraries (FedML) applies the Data Federation architecture of SAP DataWarehouse Cloud for intelligently sourcing data for Machine Learning experiments done at the Hyperscalers thereby removing the need for replicating or moving data. By abstracting the Data Connection, Data load, and Model training (with flexibility and provision for user provided training scripts) for Hyperscaler Machine learning processes, the FedML library provides end to end integration with few lines of code.

Installation

Install the SAP FedML GCP library using pip as follows:

pip install fedml-gcp

Documentation and getting started

For getting started with the SAP FedML GCP Library and for documentation and sample notebooks, please refer the SAP FedML GCP github page link

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