Package: wnpp Severity: wishlist X-Debbugs-Cc: [email protected], [email protected]
Subject: ITP: python-apricot-select -- submodular selection of representative sets for machine learning models Package: wnpp Owner: Michael R. Crusoe <[email protected]> Severity: wishlist * Package name : python-apricot-select Version : 0.6.1 Upstream Author : Jacob Schreiber <[email protected]> * URL : http://pypi.python.org/pypi/apricot-select/ * License : expat Programming Lang: Python Description : submodular selection of representative sets for machine learning models apricot implements submodular optimization for the purpose of summarizing massive data sets into minimally redundant subsets that are still representative of the original data. These subsets are useful for both visualizing the modalities in the data and for training accurate machine learning models with just a fraction of the examples and compute. Remark: This package is maintained by Debian Python Team as it is a pre-requisite for python-pomegranate 1.x at https://salsa.debian.org/python-team/packages/python-apricot-select
OpenPGP_signature.asc
Description: OpenPGP digital signature
