Sedpack - Scalable and efficient data packing

Mainly refactored from the SCAAML project.

Available components

• TODO

Install

Dependencies

To use this library you need to have a working version of TensorFlow 2.x.

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 . (short pip install -e . or legacy python setup.py develop)

Rust install

• Activate your Python virtual environment
• Install Rust
• Run maturin develop --release
• Run python -m pytest from the project root directory -- no tests should be skipped

Update dependencies

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

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

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

Package install

pip install sedpack

Tutorial

Tutorials available in the docs/tutorials/ directory. For a "hello world" see docs/tutorials/quick_start/mnist_save.py and docs/tutorials/quick_start/mnist_save.py.

Disclaimer

This is not an official Google product.