Blended Dataset Loop
This repository contains a simple loop to compute a balanced ordering of dataset indices to train on. The resulting ordering ensures the data distribution is similar among batches. The loop is implemented in Rust for performance reasons and can be consumed as part of a Python package.
The package uses cffi (rather than e.g. PyO3) in order to be compatible with different Python versions.
Requirements
- Conda (for Python)
- Cargo with nightly Rust
Setup
Create a conda environment as follows:
conda create -n blended_dataset_loop python=3.9 -y
conda activate blended_dataset_loop
Install Rust nightly
rustup override set nightly-2024-02-03
Install the Python dev-dependencies:
pip install 'maturin[patchelf]'
pip install '.[dev]'
Develop
After changing the Rust code, run:
maturin develop
or, for release mode
maturin develop --release
1 maintainer
Metadata
1 maintainer
Release files for blended-dataset-loop 0.1.0
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Source distribution (sdist)
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| blended_dataset_loop-0.1.0.tar.gz | 8.4 kB | Without provenance | Details for blended_dataset_loop-0.1.0.tar.gz |
Built distributions (wheels)
Total release size: 2.9 MB
Release files / blended_dataset_loop-0.1.0.tar.gz
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Release files / blended_dataset_loop-0.1.0-py3-none-win_amd64.whl
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Release files / blended_dataset_loop-0.1.0-py3-none-win32.whl
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