Back

Explore Courses Blog Tutorials Interview Questions
0 votes
1 view
in Machine Learning by (33.1k points)

Is there a way to plot a decision tree in a Jupyter Notebook, such that I can interactively explore its nodes? I am thinking about something like this 

dt

This is an example from KNIME.

I have found https://planspace.org/20151129-see_sklearn_trees_with_d3/ and https://bl.ocks.org/ajschumacher/65eda1df2b0dd2cf616f and I know you can run d3 in Jupyter, but I have not found any packages, that do that.

1 Answer

0 votes
by (33.1k points)

You can easily plot a graph for the Desicion tree. This can be done by the PYDot library in python.

Code to draw a graph using PYDot:

 

from pydot import Dot, Edge

        g = Dot()

        g.set_node_defaults(color='lightgray', style='filled', shape='box',

       fontname='Courier', fontsize='10')

       for node in sorted(self.nodes, key=lambda x: x.num):

            if draw_branches and node.type.is_cond:

                g.add_edge(Edge(str(node), str(node.true), color='green'))

                g.add_edge(Edge(str(node), str(node.false), color='red'))

            else:

        for suc in self.sucs(node):

                    g.add_edge(Edge(str(node), str(suc), color='blue'))

            for except_node in self.catch_edges.get(node, []):

                g.add_edge(Edge(str(node), str(except_node),

                                color='black', style='dashed'))

        g.write_png('%s/%s.png' % (dname, name))

The code will return graph similar to the following graph:

image

Hope this answer helps.

If you want to learn more about Python then visit this Python Course.

Welcome to Intellipaat Community. Get your technical queries answered by top developers!

28.4k questions

29.7k answers

500 comments

94k users

Browse Categories

...