Metadata-Version: 2.0
Name: geosoupML
Version: 0.1.55
Summary: Machine Learning support for geosoup
Home-page: https://github.com/masseyr/geosoupML
Author: Richard Massey
Author-email: rm885@nau.edu
License: Apache License 2.0
Keywords: geospatial raster vector global spatial regression hierarchical samples random
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: geosoup
Requires-Dist: h5py
Requires-Dist: numpy
Requires-Dist: psutil
Requires-Dist: scikit-learn
Requires-Dist: scipy

## Geosoup Machine Learning library v0.1.55

[![DOI](https://zenodo.org/badge/259178307.svg)](https://zenodo.org/badge/latestdoi/259178307)

Geosoup is a python package for geospatial data manipulation using `GDAL` and `GDAL bindings` in python. 
This library is for machine learning support for the geosoup library.

Currently implemented:

`Random Forest Regressor`  
`Multiple Linear Regressor`


Install using:

`pip install geosoupML`


Note: Must have `GDAL >= 2.1.3` up and running before installing geosoup and geosoupML.


