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Some minor changes #200

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Some minor changes #200

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2 changes: 1 addition & 1 deletion cortex/_lib/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -211,7 +211,7 @@ def main_loop(model, epochs=500, archive_every=10, save_on_best=None,
total_time = 0.
if eval_only:
test_results, test_std = test_epoch(
'Testing', eval_mode=True, mode=test_mode)
'Testing', data_mode=test_mode)
convert_to_numpy(test_results)
convert_to_numpy(test_std)

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10 changes: 5 additions & 5 deletions cortex/built_ins/models/classifier.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,10 +55,10 @@ def routine(self, inputs, targets,
if labeled.sum() > 0:
correct = 100. * (labeled * predicted.eq(
targets.data).float()).cpu().sum() / labeled.cpu().sum()
self.results.accuracy = correct
self.results.accuracy = correct.item()
self.losses.classifier = loss

self.results.perc_labeled = labeled.mean()
self.results.perc_labeled = labeled.mean().item()

def predict(self, inputs):
classifier = self.nets.classifier
Expand Down Expand Up @@ -107,9 +107,9 @@ def routine(self, inputs, attributes):
correct = 100. * predicted.eq(attributes.data).cpu().sum(0) / attributes.size(0)

self.losses.classifier = loss
self.results.accuracy = dict(mean=correct.float().mean(),
max=correct.max(),
min=correct.min())
self.results.accuracy = dict(mean=correct.float().mean().item(),
max=correct.max().item(),
min=correct.min().item())

def predict(self, inputs):
classifier = self.nets.classifier
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