# CODE TO COMPARE RISK BOUNDS AND POST-TRAINING PERFORMANCE FOR CLASSIFICATION
# USING META-ALGO vs SGD+TEST-SET

# HOW TO: to run the algorithms, simply run 'runexp.py'

# NOTE: 'runexp.py' produces the results from one dataset and one
#        pretraining fraction. To plot the results as in Figure 3
#        the code need be executed multiple times over all datasets 
#        and pretrain fractions.
#        To do so, simply change DATASET_ID and PRETRAIN_FRAC in 'runexp.py'
