ptrendx commented on a change in pull request #13471: Optimization of metric
evaluation
URL: https://github.com/apache/incubator-mxnet/pull/13471#discussion_r240338631
##########
File path: python/mxnet/metric.py
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@@ -164,6 +173,24 @@ def get(self):
else:
return (self.name, self.sum_metric / self.num_inst)
+ def get_global(self):
+ """Gets the current global evaluation result.
+
+ Returns
+ -------
+ names : list of str
+ Name of the metrics.
+ values : list of float
+ Value of the evaluations.
+ """
+ if self._has_global_stats:
+ if self.global_num_inst == 0:
+ return (self.name, float('nan'))
+ else:
+ return (self.name, self.global_sum_metric /
self.global_num_inst)
+ else:
+ return self.get()
Review comment:
I'm not sure if that is possible - doing this would break fully custom
metrics (other than subclasses of `CustomMetric` class, for which I added
support) that did not implement global stats.
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