[Debian-med-packaging] Bug#961632: ITP: umap-learn -- Uniform Manifold Approximation and Projection

[Andreas Tille]

Package: wnpp
Severity: wishlist

Subject: ITP: umap-learn -- Uniform Manifold Approximation and Projection
Package: wnpp
Owner: Andreas Tille <tille at debian.org>
Severity: wishlist

* Package name    : umap-learn
  Version         : 0.4.3
  Upstream Author : Leland McInnes
* URL             : https://github.com/lmcinnes/umap
* License         : BSD-3-Clause
  Programming Lang: Python
  Description     : Uniform Manifold Approximation and Projection
 Uniform Manifold Approximation and Projection (UMAP) is a dimension
 reduction technique that can be used for visualisation similarly to t-
 SNE, but also for general non-linear dimension reduction. The algorithm
 is founded on three assumptions about the data:
 .
  1. The data is uniformly distributed on a Riemannian manifold;
  2. The Riemannian metric is locally constant (or can be
     approximated as such);
  3. The manifold is locally connected.
 .
 From these assumptions it is possible to model the manifold with a fuzzy
 topological structure. The embedding is found by searching for a low
 dimensional projection of the data that has the closest possible
 equivalent fuzzy topological structure.

Remark: This package is maintained by Debian Med Packaging Team at
   https://salsa.debian.org/med-team/umap-learn