Hi: I have weights that range in value from 0 to 1 (for example .05). I am able to run a weighted logistic regression using proc logistic data = logistic outmodel=log_model; model target_good_final (event='1') = &keep_it2 / selection = forward sle=.01; output out = stats p = prob_good_log xbeta = logit_good ; weight weight; But I am not sure how to do the same thing for a neural net work. There doesn't appear to be a weight statement for Proc Neural, Proc DMNEURL suggest that you use include the weight variable in your data set as a "Freq" variable. Then use Proc DMDB to create a catalog for its use. But if you make weight a FREQ variable then it becomes an integer which I don't want . PROC IMSTAT has a Neural statement and a weight that does not require a PROC DMDB as required by Proc Neural and Proc DMNEURL (See below). proc dmdb data=training&j dmdbcat=cat; class ⌖ var &inputs; target ⌖ Any suggestions as the best way to go ? Thanks Michael Quigley
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