Metadata-Version: 2.1
Name: embedding-quality
Version: 0.1.1
Summary: A package for unsupervised embedding quality evaluation
Home-page: https://github.com/yourusername/embedding_quality
Author: Raghav Awasthi
Author-email: rxa615@case.edu
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.18.0

# Embedding Quality Evaluation

A Python package for unsupervised embedding quality evaluation.

## Installation

You can install the package using pip:

```bash
pip install embedding_quality




import numpy as np
from embedding_quality import UnsupervisedEmbeddingQualityEvaluation

# Create a sample matrix
M = np.random.rand(100, 50)

# Use the evaluation methods
rankme = UnsupervisedEmbeddingQualityEvaluation.RankMe(M)
nesum = UnsupervisedEmbeddingQualityEvaluation.NESum(M)
stable_rank = UnsupervisedEmbeddingQualityEvaluation.Stable_rank(M)

print(f"RankMe: {rankme}")
print(f"NESum: {nesum}")
print(f"Stable Rank: {stable_rank}")
