Hi,
I'm currently working on a building model calibration project and I'd like to use SEB sample project as a baseline: I'd reuse same seed model, measures and calibration data and compare results with the one obtained using PAT 2. Apart from CSVs that can be found in sample_projects dir, is there any other place I could find training metrics & results? I'm particularly interested in training times, speed of convergence (where applicable), sampling rate, sensitivity to seeds (are results reproducible?) and AWS resources utilization.
Thanks!