I was using the Decision Tree and this error was raised. The same situation appeared when I used Back Propagation. How can I solve it? (Sorry for my poor English)
import pandas as pd
import numpy as np
a = np.test()
f = open('E:/lgdata.csv')
data = pd.read_csv(f,index_col = 'id')
x = data.iloc[:,10:12].as_matrix().astype(int)
y = data.iloc[:,9].as_matrix().astype(int)
from sklearn.tree import DecisionTreeClassifier as DTC
dtc = DTC(criterion='entropy')
dtc.fit(x,y)
x=pd.DataFrame(x)
from sklearn.tree import export_graphviz
with open('tree.dot','w') as f1:
f1 = export_graphviz(dtc, feature_names = x.columns, out_file = f1)
Traceback (most recent call last):
File "<ipython-input-40-4359c06ae1f0>", line 1, in <module>
runfile('C:/ProgramData/Anaconda3/lib/site-packages/scipy/_lib/_numpy_compat.py', wdir='C:/ProgramData/Anaconda3/lib/site-packages/scipy/_lib')
File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 710, in runfile
execfile(filename, namespace)
File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/ProgramData/Anaconda3/lib/site-packages/scipy/_lib/_numpy_compat.py", line 9, in <module>
from numpy.testing.nosetester import import_noseModuleNotFoundError: No module named 'numpy.testing.nosetester'
This is happening due to a version incompatibility between
numpy
andscipy
.numpy
in its latest versions have deprecatednumpy.testing.nosetester
.Replicating the issue
and
Triggers the error.
Fixing the error
Upgrade your
scipy
to a higher version.But not limited to this. By upgrading the above libraries to the latest stable, you should be able to get rid of this error.
try installing numpy version 1.17.0 using pip or pip3 (assuming you already installed pip3)