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Optimization of metric evaluation #13471

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Dec 13, 2018
Merged

Optimization of metric evaluation #13471

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6d4bd43
Change argsort to argpartition
ptrendx Nov 28, 2018
49050aa
Global statistics in metrics
ptrendx Nov 28, 2018
da6ec43
Fix lint
ptrendx Nov 30, 2018
70455e6
Fixes from review
ptrendx Nov 30, 2018
d7e14cc
Trigger
ptrendx Dec 1, 2018
d4410c6
Merge branch 'upstream' into pr_topk
ptrendx Dec 3, 2018
3fb50c7
Fixes from review, fix to F1, MCC and perplexity metrics,
ptrendx Dec 12, 2018
18807be
Fix lint
ptrendx Dec 12, 2018
2ad4b1e
Fix compatibility with Python 2
ptrendx Dec 12, 2018
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4 changes: 2 additions & 2 deletions python/mxnet/callback.py
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Original file line number Diff line number Diff line change
Expand Up @@ -113,7 +113,7 @@ def _callback(param):
logging.info('Iter[%d] Batch[%d] Train-%s=%f',
param.epoch, param.nbatch, name, value)
if auto_reset:
param.eval_metric.reset()
param.eval_metric.reset_local()
return _callback


Expand Down Expand Up @@ -164,7 +164,7 @@ def __call__(self, param):
if param.eval_metric is not None:
name_value = param.eval_metric.get_name_value()
if self.auto_reset:
param.eval_metric.reset()
param.eval_metric.reset_local()
msg = 'Epoch[%d] Batch [%d-%d]\tSpeed: %.2f samples/sec'
msg += '\t%s=%f'*len(name_value)
logging.info(msg, param.epoch, count-self.frequent, count, speed, *sum(name_value, ()))
Expand Down
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