Persistence: A versatile library for topological data analysis.
A topological data analysis library motivated by flexibility when it comes to the type of data being analyzed. If your data comes with a meaningful binary function into into an ordered set, you can use Persistence to analyze your data. The library also provides functions for analyzing directed/undirected, weighted/unweighted graphs. See the README for resources on learning about topological data anlysis.
[Skip to Readme]
|Versions [RSS] [faq]||1.0, 1.1, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 22.214.171.124, 126.96.36.199, 2.0, 2.0.1, 2.0.2, 2.0.3|
|Dependencies||base (>=4.0 && <4.13), containers (>0.5), maximal-cliques (>=0.1), parallel (==3.2.*), vector (>=0.12) [details]|
|Copyright||2019 Eben Kadile|
|Revised||Revision 1 made by Ebanflo at 2019-07-16T05:43:27Z|
|Source repo||head: git clone https://github.com/Ebanflo42/Persistence|
|Uploaded||by Ebanflo at 2019-07-16T05:22:43Z|
|Downloads||4952 total (75 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
Docs available [build log]
Last success reported on 2019-07-16 [all 1 reports]
- Persistence-2.0.tar.gz [browse] (Cabal source package)
- Package description (revised from the package)
Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.
For package maintainers and hackage trustees