1 vs rest, single digit binomial GLM for mnist training data, checking the actua
l vs predicted on the training data, is typicall <2% for digits 0,3,7. I used a hardwired 6% bound (digit=3 with no regularization gets 5.2% error in training)  (just reusing training data for prediction, to see that it matches error rate GLM traiing reports) (csv download of col 0 for source/predict, with 0/1 translate and m ismatches counted. I do limit iterations for speed
1 vs rest, single digit binomial GLM for mnist training data, checking the actua
l vs predicted on the training data, is typicall <2% for digits 0,3,7. I used a hardwired 6% bound (digit=3 with no regularization gets 5.2% error in training)  (just reusing training data for prediction, to see that it matches error rate GLM traiing reports) (csv download of col 0 for source/predict, with 0/1 translate and m ismatches counted. I do limit iterations for speed
Merge branch 'master' of github.com:0xdata/h2o