Metadata-Version: 2.1
Name: hydroai
Version: 0.0.1
Summary: Side project to demonstrate the operational value of machine learning for hydrologic modeling
Home-page: https://github.com/pjbutcher/hydroai
Author: Phil Butcher
Author-email: phillipjbutcher@gmail.com
License: Apache Software License 2.0
Keywords: hydroai,hydrology,meteorology,machine learning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: cdsapi
Requires-Dist: cfgrib
Requires-Dist: dask
Requires-Dist: xarray
Requires-Dist: geopandas
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: regionmask

# hydroai
> This project contains all the backend logic to demonstrate the viability of machine learning methods for operational hydrologic forecasting.


## Install

`pip install hydroai`

## How to use

Checkout the following tutorials which demonstrate some initial functionality available in hydroai.

- [Processing ERA5-Land Data](https://pjbutcher.github.io/hydroai/tutorial_process_era5_land/)
- [Training a Random Forest Model on ERA5-Land Forcings](https://pjbutcher.github.io/hydroai/tutorial_simple_random_forest/)


