pyswarms 1.3.0-7 source package in Ubuntu
Changelog
pyswarms (1.3.0-7) unstable; urgency=medium
* Team upload.
* Add a patch from Upstream to enable compatibility with matplotlib 3.8
(Closes: #1074629)
-- Alexandre Detiste <email address hidden> Wed, 03 Jul 2024 15:36:04 +0200
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 | |
|---|---|---|---|---|
| Oracular | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pyswarms_1.3.0-7.dsc | 2.4 KiB | acee618f659e49d74c9c74a4af854c7c03920b5c95e0c59bad50ab4a2750cdea |
| pyswarms_1.3.0.orig.tar.gz | 27.9 MiB | 8ae477f52cdfbd0b0a5be86bc0c1d93b3d46d7d5359e8730373896f506667739 |
| pyswarms_1.3.0-7.debian.tar.xz | 11.0 KiB | 7b76387edb7bf6d8eaf5e1a5e9f740860655d009f5e130d456415008df6336b9 |
Available diffs
- diff from 1.3.0-6 to 1.3.0-7 (822 bytes)
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.
