I am following the answer presented to a previous post: Is it possible to print the decision tree in scikit-learn?
from sklearn.datasets import load_iris
from sklearn import tree
from sklearn.externals.six import StringIO
import pydot
clf = tree.DecisionTreeClassifier()
iris = load_iris()
clf = clf.fit(iris.data, iris.target)
tree.export_graphviz(clf, out_file='tree.dot')
dot_data = StringIO()
tree.export_graphviz(clf, out_file=dot_data)
graph = pydot.graph_from_dot_data(dot_data.getvalue())
graph.write_pdf("iris.pdf")
Unfortunately, I cannot figure out the following error:
'list' object has no attribute 'write_pdf'
Does anyone know a way around this as the structure of the generated tree.dot
file is a list?
Update
I have attempted using the web application http://webgraphviz.com/. This works, however, the decision tree conditions, together with the classes are not displayed. Is there any way to include these in the tree.dot
file?