shahryarabaki
commented
6 years ago It seems there is only one class in the dataset, right?
Open dasavisha opened 6 years ago
shahryarabaki
commented
6 years ago It seems there is only one class in the dataset, right?
AymanELS
commented
6 years ago I tried running it on IWSPA training dataset. It worked fine for me...
dasavisha
commented
6 years ago Still giving errors. Anytime you want to meet and look into the error? Please let me know.
Traceback (most recent call last): File "main.py", line 331, in
main()
File "main.py", line 246, in main
X_train, selection = Feature_Selection.Feature_Ranking(X_train, y_train,k, feature_list_dict_train)
File "/home/avisha/S&P_18/Feature_Extraction_Platform/Feature_Selection.py", line 50, in Feature_Ranking
rfe.fit(X,y)
File "/home/avisha/anaconda3/lib/python3.6/site-packages/sklearn/feature_selection/rfe.py", line 134, in fit
return self._fit(X, y)
File "/home/avisha/anaconda3/lib/python3.6/site-packages/sklearn/feature_selection/rfe.py", line 173, in _fit
estimator.fit(X[:, features], y)
File "/home/avisha/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py", line 1233, in fit
sample_weight=sample_weight)
File "/home/avisha/anaconda3/lib/python3.6/site-packages/sklearn/svm/base.py", line 853, in _fitliblinear
" class: %r" % classes[0])
ValueError: This solver needs samples of at least 2 classes in the data, but the data contains only one class: 1