logress.pig

a = load 'a9a.train' 
      as (rowid:int, label:float, features:{(featurepair:chararray)});
b = foreach c generate flatten(
      logress(features, label, '-total_steps ${total_steps}')
    ) as (feature, weight);
c = group b by feature;
d = foreach c generate group, AVG(c.weight);
store d into 'a9a_model1';