Machine Learning support for geosoup
Project description
Geosoup Machine Learning library v0.1.12
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file geosoupML-0.1.12.tar.gz.
File metadata
- Download URL: geosoupML-0.1.12.tar.gz
- Upload date:
- Size: 21.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3a626694eebe9ab613fdb14c977428b9bcc325793120da408f1017861ace7f05
|
|
| MD5 |
932ebe750aaff32729f0e24d8db4b900
|
|
| BLAKE2b-256 |
32bf04fb514b6be46512ce8d5f2a1c1d99c033b1e97b96f66e9e6dd4e8f3d48f
|
File details
Details for the file geosoupML-0.1.12-py3-none-any.whl.
File metadata
- Download URL: geosoupML-0.1.12-py3-none-any.whl
- Upload date:
- Size: 25.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2aa445bd00f72e9163b7a9b66c77368037af55ca9967b144e15c57796ba64209
|
|
| MD5 |
8f0dd7003a20a03d5d1d714fba03b162
|
|
| BLAKE2b-256 |
a41e73ab4aa7c763f991aa7bef5d63be175d546347b5a08fdac715e71f76a734
|
