Metadata-Version: 2.4
Name: effdim
Version: 0.1.1
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: pytest-cov ; extra == 'dev'
Requires-Dist: black ; extra == 'dev'
Requires-Dist: mypy ; extra == 'dev'
Requires-Dist: mkdocs ; extra == 'docs'
Requires-Dist: mkdocs-material ; extra == 'docs'
Requires-Dist: mkdocstrings[python] ; extra == 'docs'
Provides-Extra: dev
Provides-Extra: docs
License-File: LICENSE
Summary: A unified library for estimating effective dimensionality.
Author-email: amanasci <kumaramanasci@gmail.com>
License-Expression: MIT
Requires-Python: >=3.8
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM

# EffDim

**EffDim** is a unified, research-oriented Python library designed to compute "effective dimensionality" (ED) across diverse data modalities.


## Installation

```bash
pip install effdim
```

## Usage

```python
import numpy as np
import effdim

data = np.random.randn(100, 50)
results = effdim.compute_dim(data)
print(f"Results : {results}")
```

