Metadata-Version: 2.1
Name: geosoupML
Version: 0.1.19
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
Description-Content-Type: text/markdown
Requires-Dist: psutil
Requires-Dist: h5py
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: geosoup

## Geosoup Machine Learning library v0.1.19

[![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 the machine learning support for geosoup.

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._


