Your message dated Thu, 16 Jul 2020 08:10:18 +0000
with message-id <e1jvyya-0008xo...@fasolo.debian.org>
and subject line Bug#961632: fixed in umap-learn 0.4.5+dfsg-1
has caused the Debian Bug report #961632,
regarding ITP: umap-learn -- Uniform Manifold Approximation and Projection
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
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-- 
961632: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=961632
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Package: wnpp
Severity: wishlist

Subject: ITP: umap-learn -- Uniform Manifold Approximation and Projection
Package: wnpp
Owner: Andreas Tille <ti...@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

--- End Message ---
--- Begin Message ---
Source: umap-learn
Source-Version: 0.4.5+dfsg-1
Done: Andreas Tille <ti...@debian.org>

We believe that the bug you reported is fixed in the latest version of
umap-learn, which is due to be installed in the Debian FTP archive.

A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to 961...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Andreas Tille <ti...@debian.org> (supplier of updated umap-learn package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmas...@ftp-master.debian.org)


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Hash: SHA512

Format: 1.8
Date: Tue, 26 May 2020 22:53:24 +0200
Source: umap-learn
Binary: umap-learn
Architecture: source all
Version: 0.4.5+dfsg-1
Distribution: unstable
Urgency: medium
Maintainer: Debian Med Packaging Team 
<debian-med-packag...@lists.alioth.debian.org>
Changed-By: Andreas Tille <ti...@debian.org>
Description:
 umap-learn - Uniform Manifold Approximation and Projection
Closes: 961632
Changes:
 umap-learn (0.4.5+dfsg-1) unstable; urgency=medium
 .
   * Initial release (Closes: #961632)
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