A light package build on scikit-learn, which is used for machine learning missions.By using it, you could conveniently train and use models at the same time, and do some model comparison.
Release files for sklearn-ml 2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sklearn_ml-2.2.tar.gz | 5.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sklearn_ml-2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.2 kB
Release files / sklearn_ml-2.2.tar.gz
| Download URL | sklearn_ml-2.2.tar.gz |
|---|---|
| Size | 5.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
03213502d2bdb746e48d66a3dd9017fa56860515d15dd87430843344fc07eecb
|
|
BLAKE2b-256 checksum How to use checksums |
2c80bf5345c0518aba1d7dda79fdba4ccdf57529b376a4953564c761a7fa7ef7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.13
|
Release files / sklearn_ml-2.2-py3-none-any.whl
| Download URL | sklearn_ml-2.2-py3-none-any.whl |
|---|---|
| Size | 4.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
802be89052fbd7b7f17c568991170196ac2bc0f3aebb11c321c5b5c6ee8aa44d
|
|
BLAKE2b-256 checksum How to use checksums |
5be12e2834ccdd389108af518673eafe016689e0e5d467d57270d634abd11e4f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.13
|