Yin Lou

No, you don't need to do any special preprocessing for features. Features of different scales are fine for GAM and GA2M, although you do need to discretize them first (https://github.com/yinlou/mltk/wiki/Dataset-Transformation#discretization)....

Here is the script to get GA2M running from end to end. You might find `mltk.predictor.evaluation.Predictor` and `mltk.predictor.gam.interaction.FAST` useful. I will update wiki soon. ``` MLTK=/Users/yin_lou/repos/mltk-github/mltk/target/mltk-0.1.0-SNAPSHOT.jar java -Xmx4g -cp $MLTK...

Hey @lukehutch, thanks for the feedback. I'm still working on the wiki pages (they are not complete yet). 1. In dense format, class (or target) attribute can appear at any...

Now I remember. In the input, number of features in the attribute file does need to match the number of columns in the data file. I wanted to enforce that...

The code was initially designed to support both BinnedAttribute and NominalAttribute, but at some point I was focusing on BinnedAttribute. I will fix that in the next iteration. Thanks for...

It shouldn't contain any non-deterministic variable. How different are the results? Which method did you call?