Paketti: python-pyswarms-doc (1.3.0-8)
Links for python-pyswarms-doc
Debian-palvelut:
Imuroi lähdekoodipaketti pyswarms:
Ylläpitäjät:
- Debian Science Maintainers (Laadunvalvontasivu, Mail Archive)
- Christian Kastner (Laadunvalvontasivu)
External Resources:
- Kotisivu [github.com]
Samankaltaisia paketteja:
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.
Muut pakettiin python-pyswarms-doc liittyvät paketit
|
|
|
|
-
- dep: fonts-mathjax
- JavaScript display engine for LaTeX and MathML (fonts)
-
- dep: libjs-jquery (>= 3.6.0)
- JavaScript library for dynamic web applications
-
- dep: libjs-mathjax
- JavaScript display engine for LaTeX and MathML
-
- dep: libjs-requirejs
- JavaScript file and module loader
-
- dep: libjs-sphinxdoc (>= 7.3)
- JavaScript support for Sphinx documentation
-
- dep: sphinx-rtd-theme-common (>= 2.0.0+dfsg)
- sphinx theme from readthedocs.org (common files)
-
- sug: ipython3
- Enhanced interactive Python 3 shell
-
- sug: python3-matplotlib
- Python based plotting system in a style similar to Matlab
-
- sug: python3-pyswarms
- research toolkit for particle swarm optimization in Python
-
- sug: python3-seaborn
- statistical visualization library for Python3
Imuroi python-pyswarms-doc
Arkkitehtuuri | Paketin koko | Koko asennettuna | Tiedostot |
---|---|---|---|
all | 5,625.2 kt | 18,387.0 kt | [tiedostoluettelo] |