43 read support log file

[rogerkuou]

fix #43

• add timestamp suffix
• add a logfile reader utility functin using tbparse -> there seems no need?

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[rogerkuou]

Hi @SarahAlidoost , I added the timestamp to logfile suffix. However I found tbparse already provides very nice interface reading logs as DataFrames, see these lines of usages.
For now, I do not see the need to create a utility functions to read log files. Unless you thin the logfile should be read as a specific format? Or maybe I can add the use of tbparse to the example notebook?

[SarahAlidoost]

Hi @SarahAlidoost , I added the timestamp to logfile suffix. However I found tbparse already provides very nice interface reading logs as DataFrames, see these lines of usages. For now, I do not see the need to create a utility functions to read log files. Unless you thin the logfile should be read as a specific format? Or maybe I can add the use of tbparse to the example notebook?

Hi @rogerkuou Thanks! There are a information in train.py and predict.py that are written by SummaryWriter, for example Loss/best. Can you please add an example to the notebook on how to read those information? This is useful when verbose=False.