Metadata-Version: 2.1
Name: emlens
Version: 0.0.5
Summary: A lightweight toolbox for understanding embedding space
Home-page: https://github.com/skojaku/emlens
Author: Sadamori Kojaku
License: MIT
Keywords: word embedding,graph embedding
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
Requires-Dist: faiss-cpu
Requires-Dist: numba
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scipy

# emlens
[![Build Status](https://travis-ci.org/skojaku/emlens.svg?branch=main)](https://travis-ci.org/skojaku/emlens)
[![Unit Test & Deploy](https://github.com/skojaku/emlens/actions/workflows/main.yml/badge.svg)](https://github.com/skojaku/emlens/actions/workflows/main.yml)

A lightweight toolbox for analyzing embedding space

## Requirements
- Python 3.7 or 3.8 (may not work on 3.9)

## Doc

https://emlens.readthedocs.io/en/latest/

## Install

```
pip install emlens
```

## Maintenance

Code Linting:
```bash
conda install -y -c conda-forge pre-commit
pre-commit install
```

Docsctring: sphinx format

Test:
```bash
python -m unittest tests/simple_test.py
```


