__author__ = "nsantoshpatel"
import time
from lib import notify
N = notify()
N.popup(
'Important Notification',
'Try to be active all time. Else you will be kicked off from the trend.')
N.close()
def main():
train = cri.CrCollection.load().filter_by(
dataset_index=0).tri_label().labeled()
if SAMPLE and SAMPLE != 1:
print("Sampling {:.0%} of original training dataset".format(SAMPLE))
train = train.sample(frac=SAMPLE)
folds = train.k_split(K, seed=K_SPLIT_SEED)
stats.print_collection_stats(train, "Training/Validation Set")
stats.print_fold_stats(folds)
for key in MODEL_KEYS:
run_all_lrs(key,
folds,
depth_index=DEPTH_INDEX,
lr_index=LR_INDEX,
fold_index=FOLD_INDEX)
if __name__ == "__main__":
try:
main()
except Exception as e:
error = traceback.format_exc()
error += "\n"
error += str(e)
print(error)
notify(error)