Metadata-Version: 2.1
Name: nystrompca
Version: 1.0.2
Summary: Kernel PCA with the Nyström method
Home-page: https://github.com/fredhallgren/nystrompca
Author: Fredrik Hallgren
Author-email: fredrik.hallgren@ucl.ac.uk
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Description-Content-Type: text/plain
License-File: LICENSE
Requires-Dist: numpy (>=0.9)
Requires-Dist: scipy (>=1.2.1)
Requires-Dist: pandas (>=0.20)
Requires-Dist: scikit-learn (>=0.19)
Requires-Dist: matplotlib (>=3.0)
Requires-Dist: seaborn (>=0.8)

This package implements an efficient non-linear PCA by combining kernel PCA with the Nyström randomized subsampling method, as well as a confidence bound on the accuracy of the method.

Please see www.github.com/fredhallgren/nystrompca for further details. 

