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.
Metadata
Release files for fedml-dsp 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fedml_dsp-1.0.0.tar.gz | 8.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fedml_dsp-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.1 kB
Release files / fedml_dsp-1.0.0.tar.gz
| Download URL | fedml_dsp-1.0.0.tar.gz |
|---|---|
| Size | 8.2 kB |
| Tags | Source |
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No |
| Uploaded via |
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Release files / fedml_dsp-1.0.0-py3-none-any.whl
| Download URL | fedml_dsp-1.0.0-py3-none-any.whl |
|---|---|
| Size | 7.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.9
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