Metadata-Version: 2.1
Name: cur
Version: 0.0.1
Summary: CUR Decomposition
Home-page: https://github.com/blester125/cur
Author: blester125
Author-email: blester125@gmail.com
License: MIT
Download-URL: https://github.com/blester125/cur/archive/0.0.1.tar.gz
Description: # CUR Decomposition
        
        [<img src="https://travis-ci.com/blester125/CUR_Decomposition.svg?branch=master" alt="Build Status">](https://travis-ci.com/blester125/CUR_Decomposition)
        
        CUR Decomposition as described in [Mining of Massive Datasets](http://www.mmds.org/), page 406.
        
        Currently it only works with Numpy arrays but the point of CUR is to keep C and R sparse if M is sparse so I plan to add support for Scipy Sparse arrays.
        
        ### Usage
        
        ```
        M = np.array([ ... ])
        r = int
        from cur import cur_decomposition
        C, U, R = cur_decomposition(M, r)
        ```
        
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 3 - Alpha
Classifier: Natural Language :: English
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
