pyswarms 1.3.0-2 source package in Ubuntu
Changelog
pyswarms (1.3.0-2) unstable; urgency=medium
* Team Upload.
* d/p/Fix-FTBFS-with-new-sphinx.patch: Change api call
to fix doc building with sphinx 4.2.0 (Closes: #997374)
-- Nilesh Patra <email address hidden> Fri, 29 Oct 2021 19:41:43 +0000
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 | |
|---|---|---|---|---|
| Jammy | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pyswarms_1.3.0-2.dsc | 2.5 KiB | f121e58e3dfb3f0ad64473fc4305cb73aa33d76955cbae41c0c46bb709d199b9 |
| pyswarms_1.3.0.orig.tar.gz | 27.9 MiB | 8ae477f52cdfbd0b0a5be86bc0c1d93b3d46d7d5359e8730373896f506667739 |
| pyswarms_1.3.0-2.debian.tar.xz | 9.5 KiB | d973121a47253485066be00ce60ff594a6bbb7f270638ecc7c84ad1598a7ba80 |
Available diffs
- diff from 1.3.0-1 to 1.3.0-2 (865 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.
