ModellingFinalroject

To run the program:

1. Simply install the required libraries via -> pip install -r requirements.txt
2. Run driver.py -> python driver.py
3. Optional flags -> python driver.py --workers <number_of_workers> --count <number_of_trials_per_worker> --mode <data_generation_mode> --models <training_model> --output <output_filename> --save-figures --hide-figures
4. If no flag values are passed the program will run with its default values.
5. Example run: python driver.py --workers 5 --successes 40 --output generated_points --save-figures --hide-figures

Please note that the length of the data set is -> dataset_length = workers * successes

See the help messge for more details: usage: driver.py [-h] [--workers WORKERS] [--count COUNT] [--mode {success-based,monte-carlo}] [--models {rf,gb} [{rf,gb} ...]] [--output OUTPUT] [--save-figures] [--hide-figures]

Spring Constant Predictor

options: -h, --help show this help message and exit --workers WORKERS Number of parallel workers --count COUNT Trials per worker (or successes per worker) --mode {success-based,monte-carlo} Data generation mode --models {rf,gb} [{rf,gb} ...] Which model(s) to train: rf, gb, or both (e.g. --models rf gb). Will run both by default. --output OUTPUT Output CSV filename, you do not have to include the file extension. --save-figures Save all figures to disk --hide-figures Hide all figures