pyswarms 1.3.0-5 source package in Ubuntu
Changelog
pyswarms (1.3.0-5) unstable; urgency=medium
* Team Upload.
* Remove intra-sphinx docs for packages whose -doc
packages have been removed (Closes: #1027557)
* Add patch to fix FTBFS with numpy 1.24 (Closes: #1027218)
-- Nilesh Patra <email address hidden> Sat, 28 Jan 2023 12:03:49 +0530
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 | |
|---|---|---|---|---|
| Mantic | release | universe | misc | |
| Lunar | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pyswarms_1.3.0-5.dsc | 1.8 KiB | 759c8cec397211a3cb9b553a3b28f38ec129518c9863dff0984d848a1afac9ef |
| pyswarms_1.3.0.orig.tar.gz | 27.9 MiB | 8ae477f52cdfbd0b0a5be86bc0c1d93b3d46d7d5359e8730373896f506667739 |
| pyswarms_1.3.0-5.debian.tar.xz | 9.9 KiB | 83b74fdd225b27b2b789cb5c331eed1b33f0032537293b186b73e8d331a57c5a |
Available diffs
- diff from 1.3.0-4 to 1.3.0-5 (1.3 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.
