A package for automated machine learning on tabular data
Project description
AutoTuneML
Automated machine learning for tabular data.
- Works with HyperOpt or Optuna
It is recommended that you use datacleanml before running this code.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
autotuneml-0.4.6.tar.gz
(13.9 kB
view details)
Built Distribution
File details
Details for the file autotuneml-0.4.6.tar.gz.
File metadata
- Download URL: autotuneml-0.4.6.tar.gz
- Upload date:
- Size: 13.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 09b203ea0c246aedaaf9878636659341507b01dbcb7cc38c1c233565ab944477 |
|
| MD5 | 714024607b0f45fb2ecc831699f162c5 |
|
| BLAKE2b-256 | 145ba196e8e344be06e5935a862c458fbd3f17e0b1d8368abb76cee1b9176a2a |
File details
Details for the file autotuneml-0.4.6-py3-none-any.whl.
File metadata
- Download URL: autotuneml-0.4.6-py3-none-any.whl
- Upload date:
- Size: 17.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9500af90065b0ca28608b656285e926eeb1466601596da4aab4ca868b8a47968 |
|
| MD5 | 6798b6be754dc07eb2622d24c7b6439c |
|
| BLAKE2b-256 | 4c631ce8206b7bb59fedc560412c967f446f01281a93948c2e3b6bef676dffcc |
