Machine-Learning-for-Coastal-Retreat

usage: coastal_analysis.py [-h] [d] [out] [aug] [tsize] [hpo] [t] [m] \

Options:  -h, --help
     Show this help message and exit
 d
     Path of the dataset
 out
     Output path
 aug
     Oversample the dataset: True | False
 tsize
     Size of the test set in percentage
 hpo
     Type of hyper-parameter optimization. Choice between: 'grid_search' | 'random_search' | 'bayes_search'
 t
     Target feature
 m
     Model: RF for random forest or XG for XGBoost \

Esempio

python coastal_analysis.py dataset_3.xlsx test1/ False 0.1 grid_search cliff_top RF