我正在尝试使用Graphviz2可视化随机森林。我在下面使用的代码。但是,当我尝试读取.dot文件时,出现以下错误:
FileNotFoundError:[WinError 2]在路径中找不到“点”
我看到其他人遇到此错误,并通过修改Windows环境变量解决了该错误。我在PATH中添加了以下内容:
C:\ Program Files(x86)\ Graphviz2.38 \ bin;
C:\ Program Files(x86)\ Graphviz2.38 \;
C:\ Users \ Adarsh \ Anaconda3 \ Lib \ site-packages \ graphviz
这些都不起作用。
import pickle
filename = '11f_rf_roc91.sav'
loaded_model = pickle.load(open(filename, 'rb'))
import os
from sklearn.tree import export_graphviz
import six
import pydot
from sklearn import tree
dotfile = six.StringIO()
i_tree = 0
for tree_in_forest in loaded_model.estimators_:
export_graphviz(tree_in_forest, out_file='tree.dot', feature_names = list(X), class_names = ["0", "1"], rounded = True, proportion = False, precision = 2, filled = True)
(graph,) = pydot.graph_from_dot_file('tree.dot')
name = 'tree' + str(i_tree)
graph.write_png(name+ '.png')
os.system('dot -Tpng tree.dot -o tree.png')
i_tree +=1
答案 0 :(得分:0)
提到的路径是可以的。您的dot_data文件本身存在问题。另请参阅内联注释以获取清晰性。
#根据Python PEP约定在此处导入所有语句。
import os
import pydot
import pickle
from sklearn import tree
from sklearn.tree import export_graphviz # this can be even > import export_graphviz <
from sklearn.externals.six import StringIO # shortened StringIO instead of six.StringIO
filename = '11f_rf_roc91.sav'
loaded_model = pickle.load(open(filename, 'rb'))
dot_data = StringIO() # this is data not filename "dotfile".
i_tree = 0
for tree_in_forest in loaded_model.estimators_:
export_graphviz(tree_in_forest,
out_file = dot_data, # now linked to correct file data
feature_names = list(X), # X seems not to be defined.
class_names = ["0", "1"],
rounded = True,
proportion = False,
precision = 2,
filled = True)
graph = pydot.graph_from_dot_file(dot_data)
name = 'tree' + str(i_tree)
graph.write_png(name+ '.png')
os.system('dot -Tpng tree.dot -o tree.png')
i_tree += 1