@eafpres wrote:
I have been working on a neural network regression problem. The problem is in time series, so the training data precede the test data in time. In some cases, over the range of the traiing data, the model generates a very good representation of the time series, except it is biased by a nearly constant value. I thought this might be insufficient training time, but I tested that and get nearly identical results even with much longer training. Any thoughts on what causes this and how to correct it?
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