如何在Python中可视化隐藏的马尔可夫模型？ [英] How to visualize a hidden Markov model in Python?

问题描述

我认为这个问题很清楚。我想在Python中创建一个隐藏的马尔可夫模型，并绘制它的vizualization模型。所以，它就像这样：

是否有任何模块可以做到这一点？虽然我从来没有使用过隐马尔可夫模型，但是当我需要可视化的时候一个图表（带标签，颜色等），我使用 Gephi ，一个GUI图形浏览器/编辑器并生成图形编程为 GraphML 文件，这是一种基于XML的格式。 Python具有良好的XML处理工具（位于标准库和 lxml ）。 Gephi将一些< data> 子元素识别为节点和边的位置，颜色和标签。

I think the question is clear enough. I want to make a hidden Markov model in Python and draw a vizualization model of it. So, it's something like this picture:

Is there any module to do that? I've googled it and found nothing.

解决方案

Though I've never worked with Hidden Markov Models, when I need to visualize a graph (directed, with labels, colors, etc.), I use Gephi, a GUI graph browser/editor and generate the graphs programmatically as GraphML files, which is an XML-based format. Python has good XML-handling tools (in the standard library and lxml). Gephi recognizes some of the <data> sub-elements as positions, colors, and labels for nodes and edges.

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