Metadata-Version: 2.4
Name: rainforest-mch
Version: 1.6.0
Summary: RandomForest QPE python library
License-Expression: GPL-3.0-only
License-File: LICENSE
Author: Rebecca Gugerli
Author-email: rebecca.gugerli@epfl.ch
Requires-Python: >=3.10,<3.14
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: Cython
Requires-Dist: PyYAML
Requires-Dist: boto3
Requires-Dist: cartopy
Requires-Dist: dask
Requires-Dist: imageio
Requires-Dist: matplotlib
Requires-Dist: mlflow
Requires-Dist: mlflow-skinny
Requires-Dist: netCDF4
Requires-Dist: numba
Requires-Dist: pandas
Requires-Dist: prompt-toolkit
Requires-Dist: pyarrow
Requires-Dist: pyart-mch
Requires-Dist: pyshp
Requires-Dist: pyspark
Requires-Dist: pysteps
Requires-Dist: python-dateutil
Requires-Dist: pytz
Requires-Dist: scikit-learn
Requires-Dist: xlrd
Requires-Dist: xmltodict
Description-Content-Type: text/markdown

# rainforest


[![Test rainforest master](https://github.com/MeteoSwiss/rainforest/actions/workflows/test_rainforest_master.yml/badge.svg?branch=master)](https://github.com/MeteoSwiss/rainforest/actions/workflows/test_rainforest_master.yml)
[![Test rainforest dev](https://github.com/MeteoSwiss/rainforest/actions/workflows/test_rainforest_dev.yml/badge.svg?branch=dev)](https://github.com/MeteoSwiss/rainforest/actions/workflows/test_rainforest_dev.yml)
[![build-deploy-site](https://github.com/MeteoSwiss/rainforest/actions/workflows/build_docs.yml/badge.svg)](https://github.com/MeteoSwiss/rainforest/actions/workflows/build_docs.yml)

A python library to access and update the gauge/station database of MDR and compute randomForest QPE estimates

Please see the [![Ref doc](https://img.shields.io/badge/docs-users-4088b8.svg)](https://meteoswiss.github.io/rainforest/) for further information

**Installation**

``` pip install rainforest-mch ```


Daniel Wolfensberger, Rebecca Gugerli, MeteoSwiss-MDRS - EPFL
February 2023

