| Name | fedml-databricks JSON |
| Version |
1.0.5
JSON |
| download |
| home_page | None |
| Summary | A python library for building machine learning models on Databricks using a federated data source |
| upload_time | 2024-03-26 19:18:24 |
| 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 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.
## Installation
Install the SAP FedML Databricks library using pip as follows:
`pip install fedml-databricks`
## Documentation and getting started
For getting started with the SAP FedML Databricks Library and for documentation and sample notebooks, please refer the SAP FedML Databricks github page [link](https://github.com/SAP-samples/data-warehouse-cloud-fedml/tree/main/Databricks)
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