Machine Learning with uncertainty quantification and interpretability.
1 maintainer
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1 maintainer
Release files for learningmachine 2.10.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| learningmachine-2.10.0.tar.gz | 13.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| learningmachine-2.10.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 22.8 kB
Release files / learningmachine-2.10.0.tar.gz
| Download URL | learningmachine-2.10.0.tar.gz |
|---|---|
| Size | 13.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
4345802a33d32598c887b97d0a36f96a9d252f808c8e57c7ddf74b49f02f618a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / learningmachine-2.10.0-py2.py3-none-any.whl
| Download URL | learningmachine-2.10.0-py2.py3-none-any.whl |
|---|---|
| Size | 9.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
d477422c7f063cedb02b26b8c95a3deb323b95ce52cd508184eb7cd37c71bc9c
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|
BLAKE2b-256 checksum How to use checksums |
82aa0d55c0199c3b43074b48a8e71ff25734241bd7b0f32732cee6bad96afa29
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
