noodlelab-ml
Machine learning on tables: scikit-learn and boosting models, evaluation and conformal prediction intervals. An official noodlelab plugin:
its nodes are ml.<name>.
noodlelab plugins add ml # or: pip install "noodlelab-ml"
Release files for noodlelab-ml 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| noodlelab_ml-1.0.0.tar.gz | 22.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| noodlelab_ml-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 49.8 kB
Release files / noodlelab_ml-1.0.0.tar.gz
| Download URL | noodlelab_ml-1.0.0.tar.gz |
|---|---|
| Size | 22.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ca40879ac0bdc68712425e9b46a63b28fe99983eb520ad05d82e3bd7eb04a034
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BLAKE2b-256 checksum How to use checksums |
7ce927995e3a2b42cd8c2b737e0c7a957511cbeb5b5e4709e0ad15bd15d6000b
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.6.4
|
Release files / noodlelab_ml-1.0.0-py3-none-any.whl
| Download URL | noodlelab_ml-1.0.0-py3-none-any.whl |
|---|---|
| Size | 27.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e5589fc386337cc8d6bf0c3b6bcf9458fa4d84ab8c0348f5416a085c41e7f9d9
|
|
BLAKE2b-256 checksum How to use checksums |
eff20b3dd55017e8020514653d148c0eea26ea51b3086e4505a77f7e01fa09ab
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.6.4
|