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?
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
and scipy
. numpy
in its latest versions have deprecated numpy.testing.nosetester
.
pip install numpy==1.18 # > 1.18
pip install scipy<=0.19.0 # <= 0.19
and
from sklearn.tree import DecisionTreeClassifier as DTC
Triggers the error.
Upgrade your scipy
to a higher version.
pip install numpy==1.18
pip install scipy==1.1.0
pip install scikit-learn==0.21.3
But not limited to this. By upgrading the above libraries to the latest stable, you should be able to get rid of this error.
I needed to upgrade scipy
pip3 install -U scipy
I was facing the same error while using lexnlp package Got it fixed by installing:
scipy==1.4.1
pandas==0.23.4
numpy==1.18.1
lexnlp==0.2.7.1
(Only install lexnlp if know you're explicitly using it in your project and you know what you're doing)
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