The code snippet should have been
reg = DecisionTreeRegressor(max_depth=None,min_samples_split=1)
reg.fit(X,Y)
scores = cross_val_score(reg, X, Y)
print scores
dot_data = StringIO()
tree.export_graphviz(reg, out_file=dot_data,
feature_names=feature_names,
filled=True, rounded=True,
special_characters=True)
graph = pydot.graph_from_dot_data(dot_data.getvalue())
Image(graph.create_png()
Raphael
On 12 March 2016 at 13:56, Raphael C <drr...@gmail.com> wrote:
> I am attempting to draw a decision tree using:
>
> reg = DecisionTreeRegressor(max_depth=None,min_samples_split=1)
> reg.fit(X,Y)
> dot_data = StringIO()
> tree.export_graphviz(reg, out_file=dot_data,
> feature_names=feature_names,
> filled=True, rounded=True,
> special_characters=True)
> graph = pydot.graph_from_dot
>
>
> This gives me the error message
>
>
> File "/usr/lib/python2.7/dist-packages/pydot.py", line 1802, in <lambda>
> lambda f=frmt, prog=self.prog : self.create(format=f, prog=prog))
> File "/usr/lib/python2.7/dist-packages/pydot.py", line 2023, in create
> status, stderr_output) )
> pydot.InvocationException: Program terminated with status: 1. stderr
> follows: Error: not well-formed (invalid token) in line 1
> ... <HTML>Design & Tech. 3D Design=A ≤ 0.5 ...
> in label of node 17
> Error: not well-formed (invalid token) in line 1
> ... <HTML>Design & Tech. Product Design=A ≤ 0.5 ...
> in label of node 68
>
>
> Is this because there is some restriction on the types of strings that
> are supported as feature names?
>
> Two of the feature names are:
>
> 'Design & Tech. 3D Design=A'
>
> and
>
> 'Design & Tech. Product Design=A'
>
> Raphael
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