geospatial-ml
A Python package for installing commonly used packages for geospatial analysis and machine learning with only one command.
- Free software: MIT license
- Documentation: https://ml.gishub.org
Credits
This package was created with Cookiecutter and the giswqs/pypackage project template.
1 maintainer
Metadata
1 maintainer
Release files for geospatial-ml 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| geospatial-ml-0.1.2.tar.gz | 3.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geospatial_ml-0.1.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 6.9 kB
Release files / geospatial-ml-0.1.2.tar.gz
| Download URL | geospatial-ml-0.1.2.tar.gz |
|---|---|
| Size | 3.4 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.10.4
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Release files / geospatial_ml-0.1.2-py2.py3-none-any.whl
| Download URL | geospatial_ml-0.1.2-py2.py3-none-any.whl |
|---|---|
| Size | 3.5 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.10.4
|
