| Name | fedml-dsp JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | A python library for building machine learning models on gpu AI Platforms using a federated data source |
| upload_time | 2024-04-05 20:46:40 |
| maintainer | None |
| 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 Datasphere for intelligently sourcing SAP as well as non-SAP data for Machine Learning experiments done at any Machine Learning platform thereby removing the need for replicating or moving data. By abstracting the Data Connection and Data load , the FedML library provides end to end platform agnostic integration support for instant data access & discovery of semantically rich business data with just few lines of code.
## Installation
Install the SAP FedML library using pip as follows:
`pip install fedml-dsp`
## Documentation and getting started
For getting started with the SAP FedML Library and for documentation and sample notebooks, please refer the SAP FedML documentation [here](https://github.com/SAP-samples/datasphere-fedml/tree/main/Datasphere).
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