pyswarms 1.3.0-4 source package in Ubuntu
Changelog
pyswarms (1.3.0-4) unstable; urgency=medium [ Debian Janitor ] * Apply multi-arch hints. + python-pyswarms-doc: Add Multi-Arch: foreign. [ Christian Kastner ] * Bump Standards-Version to 4.6.2 (no changes needed) * autopkgtest: Use py3versions --supported instead of --requested - Add python3-all as autopkgtest dependency * Bump copyright -- Christian Kastner <email address hidden> Sun, 18 Dec 2022 22:47:15 +0100
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pyswarms_1.3.0-4.dsc | 2.5 KiB | 410c51dc662b0e6f3c466b703c49ecadb1724b6e40391548dd2e76be0be4a978 |
pyswarms_1.3.0.orig.tar.gz | 27.9 MiB | 8ae477f52cdfbd0b0a5be86bc0c1d93b3d46d7d5359e8730373896f506667739 |
pyswarms_1.3.0-4.debian.tar.xz | 9.6 KiB | bc6bc72cc411197b4c4b994b1f76578a0a7a50188e045a0184d7628b1966037f |
Available diffs
- diff from 1.3.0-3 to 1.3.0-4 (1.0 KiB)
No changes file available.
Binary packages built by this source
- python-pyswarms-doc: documentation and examples for PySwarms
PySwarms is an extensible research toolkit for particle swarm optimization
(PSO) in Python.
.
It is intended for swarm intelligence researchers, practitioners, and students
who prefer a high-level declarative interface for implementing PSO in their
problems. PySwarms enables basic optimization with PSO and interaction with
swarm optimizations.
.
Features:
* High-level module for Particle Swarm Optimization
* Built-in objective functions to test optimization algorithms
* Plotting environment for cost histories and particle movement
* Hyperparameter search tools to optimize swarm behaviour
.
This package contains the documentation and examples for PySwarms.
- python3-pyswarms: research toolkit for particle swarm optimization in Python
PySwarms is an extensible research toolkit for particle swarm optimization
(PSO) in Python.
.
It is intended for swarm intelligence researchers, practitioners, and students
who prefer a high-level declarative interface for implementing PSO in their
problems. PySwarms enables basic optimization with PSO and interaction with
swarm optimizations.
.
Features:
* High-level module for Particle Swarm Optimization
* Built-in objective functions to test optimization algorithms
* Plotting environment for cost histories and particle movement
* Hyperparameter search tools to optimize swarm behaviour
.
This package contains the Python 3.x version of PySwarms.