myautoml is a package which provides a framework to automate machine learning
Project description
MyAutoML
MyAutoML is a project that aims to help data scientists become more efficient, by providing:
- Cookiecutter templates
- Example scripts (based on the Cookiecutter templates)
- A Python package with functions to perform common tasks
- A programming framework to automate as much as possible of the repetitive work a data scientist is likely to encounter.
Installation
Install MyAutoML using pip:
pip install myautoml
Documentation
Documentation is under development. The latest version can be found at https://myautoml.readthedocs.io/en/latest/.
Tutorial
Wondering how to get started with training a model with MyAutoML? Have a look at the tutorial!
Example scripts
We provide example scripts in the folder scripts.
Cookiecutters
To use the Cookiecutter templates:
cookiecutter https://github.com/myautoml/myautoml.git --directory="cookiecutter/binary_classifier"
Project details
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file myautoml-0.6.2.tar.gz.
File metadata
- Download URL: myautoml-0.6.2.tar.gz
- Upload date:
- Size: 17.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f799b2ce2f2faed2121bec5b7b4dcb2db996d4d07d4982d4715668f458680d9b
|
|
| MD5 |
ffdec65326868b3746221dd19e20cc27
|
|
| BLAKE2b-256 |
bd5c14be755facf0d85aba7d0ce2fa0d4aad419cf58ab8984e9dc33c0fa5bdae
|
File details
Details for the file myautoml-0.6.2-py3-none-any.whl.
File metadata
- Download URL: myautoml-0.6.2-py3-none-any.whl
- Upload date:
- Size: 21.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7011b58254d403ec4ccb46554f3615d07310389efa8c4abe444e991e3de70b46
|
|
| MD5 |
ea3e72cf8ccf86f924cbc44e9afd5988
|
|
| BLAKE2b-256 |
9f4976829626f4c56e654e2def10232adf41d4f69029a42511689edd6719802b
|