A unified library for estimating effective dimensionality.
Project description
EffDim
EffDim is a unified, research-oriented Python library designed to compute "effective dimensionality" (ED) across diverse data modalities.
Installation
pip install effdim
Usage
import numpy as np
import effdim
data = np.random.randn(100, 50)
ed = effdim.compute(data, method='pca', threshold=0.95)
print(f"Effective Dimension: {ed}")
Features
- Modality Agnostic: Works with raw data, covariance matrices, and pre-computed spectra.
- Unified Interface: Simple
computeandanalyzefunctions. - Extensive Estimators: PCA, Participation Ratio, Shannon Entropy, and more.
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