Metadata-Version: 2.1
Name: hydrogpower
Version: 0.0.2
Summary: A small example package
Author-email: JulianDPastrana <j.pastrana@utp.edu.com>
Project-URL: Homepage, https://github.com/cblancom/natural_gas_project
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: openpyxl
Requires-Dist: tensorflow
Requires-Dist: tensorflow-probability
Requires-Dist: gpflow (~=2.8.0)

# HydroGPower

HydroGPower is a Python package that utilizes Gaussian Process (GP) models for predicting time-series hydro-resources.

## Installation

To use the HydroGPower tool, install the hydrogpower package:
```bash
pip install hydrogpower
```
## Example of usage

We created a ```dataset_example.xlsx``` file containing the time-series data at the script's path.
```bash
from hydrogpower import main

hydrogpower = main.HydroGPower(
    filename="dataset_example",
    horizont=5,
    M=2,
    seed=1234
)
hydrogpower.train_model()
hydrogpower.predict()
