autogluon.core 1.1.1


Fast and Accurate ML in 3 Lines of Code

Fast and Accurate ML in 3 Lines of Code

Stars: 7469, Watchers: 7469, Forks: 885, Open Issues: 311

The autogluon/autogluon repo was created 4 years ago and the last code push was 7 hours ago.
The project is extremely popular with a mindblowing 7469 github stars!

How to Install autogluon-core

You can install autogluon-core using pip

pip install autogluon-core

or add it to a project with poetry

poetry add autogluon-core

Package Details

AutoGluon Community
GitHub Repo:


  • Scientific/Engineering/Artificial Intelligence
  • Scientific/Engineering/Image Recognition
  • Scientific/Engineering/Information Analysis
  • Software Development
No  autogluon-core  pypi packages just yet.


A list of common autogluon-core errors.

Code Examples

Here are some autogluon-core code examples and snippets.

GitHub Issues

The autogluon-core package has 311 open issues on GitHub

  • Various HPO Cleanup / Fixes
  • NN_TORCH incorrectly implements use_batchnorm=True
  • Handle nan in categorical feature in text feature generator
  • NeuralNetFastAI runs extremely slow
  • How do I set confidence when I use test data to predict? Are there relevant parameters?
  • [WIP]ARM/M1 dependency upgrade and doc
  • Text Prediction only be handled in English? Do you support Chinese?
  • Add scikit-learn compatible API
  • TabularPredictor config helper
  • Consider integrating cleanlab - cleans noisy labels (enhancement)
  • [v0.4] Add documentation for HPO / Search Spaces
  • [v0.4] Refactor model valid features to be allow instead of exclude
  • Feature Tools integration
  • Included Model Types
  • No GPU is detected in the machine and we will not proceed to run TextPredictor because they will train too slowly with only CPU.

See more issues on GitHub

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