* Experiment code execution detection
- Automatically create package requirements section (including used versions)
- Automatically detect and store source code uncommitted changes
- Jupyter notebook support, automatically convert notebook to python script (stored under uncommitted changes)
- Jupyter notebook support, automatically update used packages in notebook (including used versions)
* Add resource monitoring to experiment metrics
- Sampled every 500ms, averaged over 30 seconds
- CPU / Network / IO / Memory etc.
- For GPU support please install gpustat
(currently not part of the requirements due to gpustat compatibility issues with Windows)
$ pip install gpustat
* Automatically stop inactive experiments (default: 2 hours)
* Improved visibility
- Finer status definitions: Identify successful completion vs. user aborted
- Experiment plot comparison: Ensure different colors for different experiments
- Parse newline character in experiment description
- Show experiment start time in table display
- Add vertical guide in scalar plots
- Move Hyper-parameters to designated tab
- "Admin" section now named "Profile"