Got this issue both when running the Exercise+3b from Coursera's Practical Deep Learning class. I have also got this issue on the 02 VGG Fine-Tuning.ipynb. I got this issue on neon 2.2 and aeon 1.0 . I haven't been successful finding any other info on this issue.
Evaluating the model
We can now compute the misclassification on the test set to see how well we did.
Got this issue both when running the Exercise+3b from Coursera's Practical Deep Learning class. I have also got this issue on the 02 VGG Fine-Tuning.ipynb. I got this issue on neon 2.2 and aeon 1.0 . I haven't been successful finding any other info on this issue.
Evaluating the model We can now compute the misclassification on the test set to see how well we did.
Check the performance on the supplied test set
from neon.transforms import Misclassification
error_pct = 100 * model.eval(test_set, metric=Misclassification())
print 'Misclassification error = %.1f%%' % error_pct
AssertionError Traceback (most recent call last)