Added
- Basic `mle-logging` API:
python
from mle_logging import MLELogger
Instantiate logging to experiment_dir
log = MLELogger(time_to_track=['num_updates', 'num_epochs'],
what_to_track=['train_loss', 'test_loss'],
experiment_dir="experiment_dir/",
model_type='torch')
time_tic = {'num_updates': 10, 'num_epochs': 1}