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CSSPy

Introduction

CSSPy is a Python library. This library aims to provide an implementation of state of the art algorithms for Column Subset Selection algorithms for low rank approximations.

Algorithms

This library cover the following algorithms:

Volume Sampling,

Deshpande, A. and Rademacher, L.: "Efficient volume sampling for row/column subset selection", 2010;

Double Phase,

Boutsidis, C. and Mahoney, M. W. and Drineas, P.: "An Improved Approximation Algorithm for the Column Subset Selection Problem ", 2010;

Deterministic Selection,

Papailiopoulos, D. and Kyrillidis, A. and Boutsidis, C.: "Provable Deterministic Leverage Score Sampling", 2014;

Requirements

CSSPy works with Python 3.4+

Installation

Install the package using the instructions

cd CSSPy
pip install .

Dependencies

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