See also Machine Learning Pipeline.
The datasets used in the demo are the following.
| Datasets | Ground Truth | Prediction |
|---|---|---|
| Training | training.csv | train.csv |
| Validation | validation.csv | val.csv |
| Testing | testing.csv | test.csv |
The ground truth datasets were created from the following.
dataset.csv which provides the lens parameters for simulation and calcuation of roulette parameters.
roulette.csv is the complete simulator output, including some columns ommitted in the data for machine learning.
experiment001
/training _log .csv gives the evolution log from training. This should be commented and analysed, but this has to wait for now.