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verbose option #1608
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I don't think so. At least in model.R, those Best, |
@topepo Hi, I think you can use tc <- textConnection(NULL, "w")
sink(tc)
model <- mx.model.FeedForward.create(softmax, X=train.x, y=train.y,
ctx=devices, num.round=3, array.batch.size=100,
learning.rate=0.07, momentum=0.9, eval.metric=mx.metric.accuracy,
initializer=mx.init.uniform(0.07),
batch.end.callback=mx.callback.log.train.metric(100))
sink()
close(tc) |
Yes, that is one solution. The problem is that, if you want to drop this into existing cross-validation code that might be running in parallel, it gets more complicated (than a |
Sorry that I missed the PR. On travel right now. It seems it breaks something, can you fix it? |
I'm not sure; before I made the modifications there were namespace errors when I tried to build the package via
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[R] added a verbose option to `mx.mlp` in R package. close #1608
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Is there any way in the R package to suppress the training and prediction logs?
Thanks,
Max
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