The datasets used in the demo are the following.
| Datasets | Ground Truth | Prediction |
|---|---|---|
| Training | cluster2 | pred |
| Validation | cluster2 | pred |
| Testing | cluster2 | pred |
The ground truth datasets were created from the following.
Dataset distribution: cluster2
-dataset .toml Problem configuration: cluster2
-problem .toml cluster2
-dataset .csv which provides the lens parameters for simulation and calculation of roulette parameters. cluster2
-roulette .csv is the complete simulator output, including some columns ommitted in the data for machine learning. training_log.csv gives the evolution log from training. This should be commented and analysed, but this has to wait for now.