[ 原始碼： python-bayesian-optimization ]
套件：python-bayesian-optimization-doc（2.0.3-1）
python-bayesian-optimization-doc 的相關連結
Debian 的資源：
下載原始碼套件 python-bayesian-optimization：
- [python-bayesian-optimization_2.0.3-1.dsc]
- [python-bayesian-optimization_2.0.3.orig.tar.gz]
- [python-bayesian-optimization_2.0.3-1.debian.tar.xz]
維護小組：
外部的資源：
- 主頁 [github.com]
相似套件：
Documentation for python-bayesian-optimization
Pure Python implementation of bayesian global optimization with gaussian processes. This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important.
This package contains documentation for bayesian-optimization.
其他與 python-bayesian-optimization-doc 有關的套件
|
|
|
|
-
- dep: libjs-requirejs
- JavaScript file and module loader
-
- dep: libjs-sphinxdoc (>= 8.1)
- JavaScript support for Sphinx documentation
-
- dep: node-mathjax-full
- JavaScript library to display math in browsers