Metadata-Version: 2.1
Name: emlens
Version: 0.0.0
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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
Requires-Dist: black (==20.8b1)
Requires-Dist: certifi (==2020.12.5)
Requires-Dist: faiss-cpu (==1.7.0)
Requires-Dist: joblib (==1.0.1)
Requires-Dist: llvmlite (==0.33.0)
Requires-Dist: numba (==0.50.0)
Requires-Dist: numpy (==1.20.1)
Requires-Dist: scikit-learn (==0.24.1)
Requires-Dist: scipy (==1.6.1)
Requires-Dist: threadpoolctl (==2.1.0)

# emlens
A lightweight toolbox for analyzing embedding space

## 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
```


