SpaLoR is python package for low rank and sparse data science methods, with the goal of making current research on machine learning methods for low-rank and sparse matrices more widely available. Using SpaLoR, you could:
- Use PCA for matrices that have missing entries
- Create a predictive model for recomendation systems
- Identify outliers while doing PCA
- Use Leverage scores to find the most informative features in you data sets
- And much more to come!
Install with pip:
pip install spalor
Install from source:
git clone https://github.com/april1729/spalor.git
cd spalor/
python setup.py install