Lesson 4 Advanced Discussion ✅

Part 1 (2019) Advanced (Part 1 v3)
94

Thank you @sgugger. This fixed the problem. Now I have another one:

learn.fit_one_cycle(1, 3e-2, moms=(0.8,0.7))

It gives an error at the validation stage - the default metrics accuracy is not appropriate may be:

~/anaconda2/envs/fastai.1/lib/python3.6/site-packages/fastai/metrics.py in accuracy(input, targs)
     37     input = input.argmax(dim=-1).view(n,-1)
     38     targs = targs.view(n,-1)
---> 39     return (input==targs).float().mean()
     40 
     41 def error_rate(input:Tensor, targs:Tensor)->Rank0Tensor:

RuntimeError: Expected object of scalar type Long but got scalar type Float for argument #2 'other'

I try to fix this with:

learn.metrics = accuracy_thresh

But I get an error:

TypeError: 'function' object is not iterable

Edit: a list of metrics is expected. This works:

learn.metrics = [accuracy_thresh]