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 = clf.fit(iris.data, iris.target)
tree.export_graphviz(clf,out_file='tree.dot')
from sklearn.externals.six import StringIO
import pydot
dot_data = StringIO()
tree.export_graphviz(clf, out_file=dot_data)
graph = pydot.graph_from_dot_data(dot_data.getvalue())
I got the following error:
TypeError: startswith first arg must be str or a tuple of str, not bytes
Can someone help me to sort this issue.Thank you
Traceback that I get with the error
TypeError Traceback (most recent call last) in () ----> 1 graph = pydot.graph_from_dot_data(dot_data.getvalue())
C:\Users\Priya\Anaconda3\Lib\site-packages\pydot.py in graph_from_dot_data(data)
218 """ 219
--> 220 return dot_parser.parse_dot_data(data) 221 222
C:\Users\Priya\Anaconda3\Lib\site-packages\dot_parser.py in parse_dot_data(data)
508 top_graphs = list() 509
--> 510 if data.startswith(codecs.BOM_UTF8): 511 data = data.decode( 'utf-8' ) 512
TypeError: startswith first arg must be str or a tuple of str, not bytes