Machine learning tools for the Geoscience Australia uncover project
Project description
Machine learning tools for the Geoscience Australia uncover project.
Installation and Usage
UncoverML can be run on a local Linux machine or a HPC platform such as NCI’s Raijin. For detailed installation and usage instructions, see the documentation.
Useful Links
Bugs & Feedback
For bugs, questions and discussions, please use Github Issues.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
uncover-ml-0.4.0.tar.gz
(103.7 kB
view details)
Built Distribution
File details
Details for the file uncover-ml-0.4.0.tar.gz
.
File metadata
- Download URL: uncover-ml-0.4.0.tar.gz
- Upload date:
- Size: 103.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a758527eb6fcfbde1a51db63e05cec5343d8ed761230718b31a8048db743e622 |
|
MD5 | eb19d080cd652db2b362957924fdd4a9 |
|
BLAKE2b-256 | 572d960839f5bb301c2f4a05c37e1ae843e375b65493625bf0cdb7fd6b57873b |
File details
Details for the file uncover_ml-0.4.0-py2.py3-none-any.whl
.
File metadata
- Download URL: uncover_ml-0.4.0-py2.py3-none-any.whl
- Upload date:
- Size: 122.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d13d0a74326302ff5f30b321c49f0bb8c4d828534ca3ee74e08dd686da8c0b8e |
|
MD5 | 28af897dd65522d2c9378dd209b4848f |
|
BLAKE2b-256 | c04f9789157346c27a7dcfedad5ac84afcaa3a17a09e7daea1a8d7117e264d7d |