Paketti: python-pyswarms-doc (1.3.0-8)

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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.

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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

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