leezu commented on a change in pull request #16922: Update LoggingHandler to
support logging per interval
URL: https://github.com/apache/incubator-mxnet/pull/16922#discussion_r354148654
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File path: python/mxnet/gluon/contrib/estimator/event_handler.py
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@@ -227,33 +227,22 @@ class LoggingHandler(TrainBegin, TrainEnd, EpochBegin,
EpochEnd, BatchBegin, Bat
Parameters
----------
- verbose : int, default LOG_PER_EPOCH
- Limit the granularity of metrics displayed during training process.
- verbose=LOG_PER_EPOCH: display metrics every epoch
- verbose=LOG_PER_BATCH: display metrics every batch
- verbose=LOG_PER_INTERVAL: display metrics every interval of batches
train_metrics : list of EvalMetrics
Training metrics to be logged, logged at batch end, epoch end, train
end.
val_metrics : list of EvalMetrics
Validation metrics to be logged, logged at epoch end, train end.
- log_interval: int, default 1
- Logging interval during training. 1 is equivalent to LOG_PER_BATCH.
+ log_interval: int or str, default 'epoch'
Review comment:
Make this the first argument?
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