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Sedpack - Scalable and efficient data packing

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google/sedpack

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Documentation

Mainly refactored from theSCAAML project.

Available components

See the documentation website:https://google.github.io/sedpack/.

Install

Dependencies

To use this library you need to have a working version ofTensorFlow2.x.

Development dependencies:

Dataset install

Development install

  1. Clone the repository:git clone https://github.com/google/sedpack
  2. Install dependencies:python3 -m pip install --require-hashes -r requirements.txt
  3. Install the package in development mode:python3 -m pip install --editable . (shortpip install -e . or legacypython setup.py develop)

Rust install

  • Activate your Python virtual environment
  • Install Rust
  • Runmaturin develop --release
  • Runpython -m pytest from the project root directory -- no tests shouldbe skipped

Update dependencies

Make sure to have:sudo apt install python3 python3-pip python3-venv andactivated the virtual environment.

Install requirements:pip install --require-hashes -r base-tooling-requirements.txt

Update:pip-compile pyproject.toml --generate-hashes --upgrade and commit requirements.txt.

Package install

pip install sedpack

Tutorial

A tutorial and documentation is available athttps://google.github.io/sedpack/.

Code for the tutorials is available in thedocs/tutorials directory. For a"hello world" seehttps://google.github.io/sedpack/tutorials/mnist/.

Disclaimer

This is not an official Google product.


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