| Name | fedml-aws JSON |
| Version |
2.0.1
JSON |
| download |
| home_page | |
| Summary | A python library for building machine learning models on AWS Sagemaker using a federated data source |
| upload_time | 2023-07-11 19:02:59 |
| maintainer | |
| docs_url | None |
| author | SAP SE |
| requires_python | >=3 |
| license | Apache License 2.0 |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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## 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 AWS library using pip as follows:
`pip install fedml-aws`
## Documentation and getting started
For getting started with the SAP FedML AWS Library and for documentation and sample notebooks, please refer the SAP FedML AWS github page [link](https://github.com/SAP-samples/datasphere-fedml/blob/main/AWS/readme.md)
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