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