Source: opentsne
Section: python
Priority: optional
Maintainer: Debian PaN Maintainers <debian-pan-maintainers@alioth-lists.debian.net>
Uploaders:
 Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>,
 Sebastien Delafond <seb@debian.org>,
 Picca Frédéric-Emmanuel <picca@debian.org>,
Build-Depends:
 cython3,
 debhelper-compat (= 13),
 dh-python,
 dh-sequence-numpy3,
 dh-sequence-python3,
 libfftw3-dev,
 pybuild-plugin-pyproject,
 python3-all-dev,
 python3-numpy,
 python3-pytest,
 python3-pytest-runner,
 python3-scipy,
 python3-setuptools,
 python3-sklearn,
Standards-Version: 4.6.2
Homepage: https://github.com/pavlin-policar/openTSNE
Vcs-Browser: https://salsa.debian.org/science-team/opentsne
Vcs-Git: https://salsa.debian.org/science-team/opentsne.git

Package: python3-opentsne
Architecture: any
Depends:
 ${misc:Depends},
 ${python3:Depends},
 ${shlibs:Depends},
Description: t-Distributed Stochastic Neighbor Embedding algorithm
 Modular Python implementation of t-Distributed Stochasitc Neighbor
 Embedding (t-SNE), a popular dimensionality-reduction algorithm for
 visualizing high-dimensional data sets. openTSNE incorporates the
 latest improvements to the t-SNE algorithm, including the ability to
 add new data points to existing embeddings, massive speed
 improvements, enabling t-SNE to scale to millions of data points and
 various tricks to improve global alignment of the
 resulting visualizations.