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nnmodel <- mx.model.FeedForward.create(symbol = lrm | |
,X = train.x | |
,y = train.y | |
,ctx = mx.cpu() | |
,num.round = 100 | |
,eval.metric = mx.metric.accuracy | |
,array.batch.size = 50 | |
,learning.rate = 0.01) |
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