When setting the naive bayes classifier verbosity to true, I get the following failure
ERROR:
Traceback (most recent call last):
File "classify.py", line 96, in <module>
main()
File "classify.py", line 79, in main
trainer.train()
File "classify.py", line 56, in train
classifier.train(self.trainPaths,self.classes,verbose=True, savedata="train_results_" + str(count) + ".txt")
File "/usr/local/lib/python2.7/dist-packages/SimpleCV/MachineLearning/NaiveBayesClassifier.py", line 240, in train
for className, classConfusions in zip(classes, confusion):
I suspect that a simple check in that section to ensure confusion is in fact a number may make sense. However the "bug" may be higher up the food chain.
Update: Additional Details, I copied the implementation locally, and checked whether the item was a number, and it was, however it was 0, so when it tried to zip I can only assume (haven't verified yet is why assumed) that it's because you can't iterate through numbers when the number is 0.... so I'm testing out if confusion > 0: to see if it works.
Update again: if confusion > 0: did work, not sure if that's the right fix, but I figure it's more information :)
Have a great day.
When setting the naive bayes classifier verbosity to true, I get the following failure
I suspect that a simple check in that section to ensure confusion is in fact a number may make sense. However the "bug" may be higher up the food chain.
Update: Additional Details, I copied the implementation locally, and checked whether the item was a number, and it was, however it was 0, so when it tried to zip I can only assume (haven't verified yet is why assumed) that it's because you can't iterate through numbers when the number is 0.... so I'm testing out if confusion > 0: to see if it works.
Update again: if confusion > 0: did work, not sure if that's the right fix, but I figure it's more information :) Have a great day.