uncover ML
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.
Release files for uncover-ml 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| uncover-ml-0.4.0.tar.gz | 103.7 kB | Without provenance | Details for uncover-ml-0.4.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| uncover_ml-0.4.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for uncover_ml-0.4.0-py2.py3-none-any.whl |
Total release size: 226.7 kB
Release files / uncover-ml-0.4.0.tar.gz
| Download URL | uncover-ml-0.4.0.tar.gz |
|---|---|
| Size | 103.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is 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
|
Release files / uncover_ml-0.4.0-py2.py3-none-any.whl
| Download URL | uncover_ml-0.4.0-py2.py3-none-any.whl |
|---|---|
| Size | 122.9 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is 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
|
Security for uncover-ml 0.4.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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