A wrapper which converts Autogluon models to Scikit-Learn models, thus breaking any limitation faced by user when implementing Scikit-learn methods to Autogluon Models
Metadata
Release files for AutogluonToScikitWrapper 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| AutogluonToScikitWrapper-0.0.1.tar.gz | 2.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| AutogluonToScikitWrapper-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.5 kB
Release files / AutogluonToScikitWrapper-0.0.1.tar.gz
| Download URL | AutogluonToScikitWrapper-0.0.1.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c623da07431fc0966feb071c77adfebb3bf9a0fa9cc2639106472bccc3a677c2
|
|
BLAKE2b-256 checksum How to use checksums |
74404d8d20e49db080ed42bc5f95c53d80d9d5b9b1da6fd502f8c5e4860ebb13
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.0
|
Release files / AutogluonToScikitWrapper-0.0.1-py3-none-any.whl
| Download URL | AutogluonToScikitWrapper-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4443181ca2592e614fc6c73ddf282ff9710f581f2fd76d4639ee4224c738eaad
|
|
BLAKE2b-256 checksum How to use checksums |
f000a0b6b2a0f2243e0c6c2b4c9aae4d693759c2148289dea150b8910a81d0a4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.0
|