Metadata-Version: 2.1
Name: fedml_dsp
Version: 1.0.0.dev1
Summary: A python library for building machine learning models on gpu AI Platforms using a federated data source
Author: SAP SE
License: Apache License 2.0
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
Requires-Dist: hdbcli
Requires-Dist: numpy ==1.23.0
Requires-Dist: pandas <1.6.0dev0,>=1.3
Requires-Dist: pyspark
Requires-Dist: ai-core-sdk
Requires-Dist: pyyaml
Requires-Dist: requests
Requires-Dist: pyarrow <15
Requires-Dist: torch

## 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).
