Contents

auto_ml 2.9.10

0

Automated machine learning for production and analytics

Automated machine learning for production and analytics

Stars: 1643, Watchers: 1643, Forks: 310, Open Issues: 188

The ClimbsRocks/auto_ml repo was created 8 years ago and the last code push was 3 years ago.
The project is very popular with an impressive 1643 github stars!

How to Install auto_ml

You can install auto_ml using pip

pip install auto_ml

or add it to a project with poetry

poetry add auto_ml

Package Details

Author
Preston Parry
License
MIT
Homepage
https://github.com/ClimbsRocks/auto_ml
PyPi:
https://pypi.org/project/auto_ml/
GitHub Repo:
https://github.com/ClimbsRocks/auto_ml

Classifiers

  • Scientific/Engineering/Artificial Intelligence
  • Scientific/Engineering/Information Analysis
  • Software Development/Libraries/Python Modules
No  auto_ml  pypi packages just yet.

Errors

A list of common auto_ml errors.

Code Examples

Here are some auto_ml code examples and snippets.

Related Packages & Articles

flwr 1.11.1

Flower: A Friendly Federated Learning Framework

autoviz 0.1.905

Automatically Visualize any dataset, any size with a single line of code

onnx 1.17.0

Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Currently we focus on the capabilities needed for inferencing (scoring).