abhinavs95 commented on a change in pull request #14442: [MXNet-1349][Fit
API]Add validation support and unit tests for fit() API
URL: https://github.com/apache/incubator-mxnet/pull/14442#discussion_r269256381
##########
File path: python/mxnet/gluon/estimator/estimator.py
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@@ -77,6 +77,10 @@ def __init__(self, net,
raise ValueError("metrics must be a Metric or a list of
Metric, "
"refer to
mxnet.metric.EvalMetric:{}".format(metrics))
+ # Use default mx.metric.Accuracy() for
gluon.loss.SoftmaxCrossEntropyLoss()
+ if not self.train_metrics and any([isinstance(l,
gluon.loss.SoftmaxCrossEntropyLoss) for l in self.loss]):
Review comment:
Yes, tracking it using JIRA issue:
https://issues.apache.org/jira/browse/MXNET-1364
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