HydroGAP-AI

TODO: Write a high level overview of the library

Installation

You can install the library using the following command:

pip install hydrogapai

or directly from this repo using:

pip install git+https://github.com/kperi/HydroGAP-AI.git

Predict gaps in stations

Usage

from hydrogapai.gap_prediction import (
    predict_station_gaps,
)
station_file = "./data/lib/station_11.0_cleaned.csv"
results_folder = './output/test_run'

 
                


all_combined_dfs, val_full, metrics_gaps, real_predictionst = predict_station_gaps(
    station_file,
    results_folder=results_folder,
    model_type=model_type,
    hyper_opt=False,
)

For a more detailed example of the library including outputs see this notebook