I have run a RandomForestRegression model in sklearn and saved the output of my decisions trees (n_estimators=50) into 50 .dot files.
Now I want to save them so I can view them as actual trees.
I am trying this:
import…
I would like to export decision tree using sklearn.
First I trained a decision tree classifier:
self._selected_classifier = tree.DecisionTreeClassifier()
self._selected_classifier.fit(train_dataframe, train_class)
self._column_names =…
I want to generate a graph, where there is an image on the edge label instead of text. I am trying to do this on the pydot, but it allows me to add only text as the label.
Is there any alternative which will help me to do this?
I have recently started working on a big Django project with existing complicated model. I needed to visualize that model, so I decided to use django-extensions (namely pygraphviz). But unfortunately, failed to install pygraphviz on windows using…
I am using IPython on Windows10 to train and draw out a decision tree. I know the following code worked on linux some time back. I installed pydot and also have graphviz (with the path correctly specified).
# Train and draw out a decision…
I'm needing to create subgraph cluster have a label with line separation from nodes.
subgraph cluster_0{
label=< process #1 >
node [shape=none]
t1 [label="label1"]
t2 [label="label2"]
t3 [label="label 3"]
node…
I wrote a simple example program using pydot:
import pydot
graph = pydot.Dot(graph_type='graph')
for i in range(3):
edge = pydot.Edge("king", "lord%d" % i)
graph.add_edge(edge)
graph.write_png('example_graph.png')
I installed pydot via…
I'm using pydot to generate a graph from a list of strings
graph = pydot.Dot(graph_type='digraph')
node_list = []
for i in xrange(0, len(string_list)):
node_list.append(pydot.Node(string_list[i]))
graph.add_node(node_list[-1])
for j in…
I am trying to train a decision tree with iris dataset from scikit-learn. I tried running the following command:
from sklearn.datasets import load_iris
from sklearn import tree
clf = tree.DecisionTreeClassifier()
iris = load_iris()
clf =…
I'm attempting to implement a Decision Tree with scikit learn and then visualise the tree with Graphviz which I understand is the standard choice for visualising DT. I'm using PyCharm, anaconda, Python 2.7 and OS X El Capitan. I've installed pydot…
I'm using pydot to generate SVG graph images. I noticed on this website: http://safemap.sourceforge.net/demo/index-no-refresh.html that they have a clickable SVG. (This website also shows how you can style SVGs with CSS:…
I create a directed tree using pydot and visualize it. That is fine but I would also like to retrieve the leaf nodes of the tree. How can I do that?
In general the question is how to access the nodes and edges that are stored inside the pydot…
I get error using the theano.printing.pydotprint() function
following lines work fine without any error:
>>> from theano import *
>>> import theano.tensor as T
>>> import pydot
>>> import numpy
Also when I run
>>> theano.printing.pydotprint
in the…
I exported a scikit-learn DecisionTree to a .dot file with export_graphviz.
In a different module I want to load the tree from the .dot file and fill a different tree structure.
Question: How do I decide if a branch is the left one (take if…