Google Git
Sign in
apache / systemds / f4b7a47cbba9951210eef45263dc4a927b59225c / . / src / main / python
tree: 4b4c7422ee08afb7cebc80491f6b31616a2da52b [path history] [tgz]
  1. docs/
  2. generator/
  3. systemds/
  4. tests/
  5. .gitignore
  6. create_python_dist.py
  7. MANIFEST.in
  8. pre_setup.py
  9. README.md
  10. setup.py
src/main/python/README.md

Apache SystemDS

Python Test

This package provides a Pythonic interface for working with SystemDS.

SystemDS is a versatile system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To facilitate this, bindings from different languages and different system abstractions provide help for:

  1. The different tasks of the data-science lifecycle, and
  2. users with different expertise.

These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.

Publishing Instructions

Building SystemDS jar (with dependency jars)

The following steps have to be done for both the cases

  • Build SystemDS with maven first mvn package -P distribution, with the working directory being SYSTEMDS_ROOT (Root directory of SystemDS)
  • cd to this folder (basically SYSTEMDS_ROOT/src/main/python)

Building python package

  • Run create_python_dist.py
python3 create_python_dist.py
  • now in the ./dist directory there will exist the source distribution systemds-VERSION.tar.gz and the wheel distribution systemds-VERSION-py3-none-any.whl, with VERSION being the current version number

Publishing package

If we want to build the package for uploading to the repository via python3 -m twine upload dist/* (will be automated in the future)

  • Install twine with pip install --upgrade twine

  • Follow the instructions from the Guide

    1. Create an API-Token in the account (leave the page open or copy the token, it will only be shown once)
    2. Execute the command python3 -m twine upload dist/*
      • Optional: pip install keyrings.alt(use with caution!) if you get UserWarning: No recommended backend was available.
    3. Username is __token__
    4. Password is the created API-Token with pypi- prefix