removed the 3rd feature from unLabeled and X_trn,X_val but found probabilities similar to each other
refactored normalize_features.m, need to reuse this in get_decision_data.m [futurework]
reused normalize_features.m to normalize unLabeled… used precomputed mean and var since at this point x_trn is already normalized.
if features need to be removed, this is the place to do it.
renamed variables
mloc_singlerun will not work now.. set n_sample_size_pts = [1] to recover single run.. the results need to be looked into.
first version of automatic decision data generator. Locality is not enforced. Can do that later if needed.
wTRP solution may be infeasible. In this case, made some adjustments so that this info is transferred to the main script file which can regenerate another instance.
variables renamed for better debugging. need to prune for infeasble decision instances. causes for infeasibility have not been explored [major]
bad decision instances are thrown away gracefully. Next step is to scale the experiment and capture results for display.
successfully ran 1000 instances of MLOC. The dumping is suboptimal and needs to be changed. This run dumped 500mb of data.
[minor] commented fprintfs, need to add a debug flag
[minor] commented fprintfs, need to add a debug flag
[minor] commented fprintfs, need to add a debug flag
[minor] commented fprintfs, need to add a debug flag. set cplex diagnostics to off
defaults to cost type 2.. Minor cleanup. Hardcoded result directory.
[minor] commented fprintfs, need to add a debug flag
[minor] commented fprintfs, need to add a debug flag
initial versions of stats and plots for the paper