wrangl

Name	wrangl JSON
Version	0.0.10 JSON
	download
home_page	https://github.com/r2llab/wrangl
Summary	Parallel data preprocessing for NLP and ML.
upload_time	2024-10-30 21:51:10
maintainer	None
docs_url	None
author	Victor Zhong
requires_python	>3.7
license	Apache 2
keywords	text nlp machine-learning
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Wrangl

[![Tests](https://github.com/r2llab/wrangl/actions/workflows/test.yml/badge.svg)](https://github.com/r2llab/wrangl/actions/workflows/test.yml)

Fast experiments for NLP and ML.
See [docs here](https://r2llab.github.io/wrangl/).

## Why?
I built this library to prototype ideas quickly.
In essence it combines [Hydra](https://hydra.cc) and [Pytorch Lightning](https://www.pytorchlightning.ai) for supervised learning.
The following are supported with command line or config tweaks (e.g. no additional boilerplate code):

- checkpointing
- early stopping
- auto git diffs
- logging to  wandb
- Slurm launcher


## Installation

```bash
pip install -e .  # add [dev] if you want to run tests and build docs.

# for latest
pip install git+https://github.com/r2llab/wrangl

# pypi release
pip install wrangl
```

## Usage

See [the documentation](https://wrangl.pages.dev) for how to use Wrangl.
Examples of projects using Wrangl are found in `wrangl.examples`.
In particular `wrangl.examples.learn.xor_clf` shows an example of using Wrangl to quickly set up a supervised classification task.

            

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