These are chat archives for dmlc/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more
param.eval_metric.get_name_value()to get my tuple list of metric types and their values. But that's only giving me the training metrics. Is there any way to access validation metrics? I see them printed out when I run the logger, but I can't see any way to access them in Python. I need some sort of workaround.