autogluon 1.5.0

Fast and Accurate ML in 3 Lines of Code

Stars: 9968, Watchers: 9968, Forks: 1118, Open Issues: 386

The autogluon/autogluon repo was created 6 years ago and the last code push was Yesterday.
The project is extremely popular with a mindblowing 9968 github stars!

How to Install autogluon

You can install autogluon using pip

pip install autogluon

or add it to a project with poetry

poetry add autogluon

Package Details

Author

AutoGluon Community

License

Apache-2.0

Homepage

https://github.com/autogluon/autogluon

PyPi:

https://pypi.org/project/autogluon/

Documentation:

https://auto.gluon.ai

GitHub Repo:

https://github.com/awslabs/autogluon

Classifiers

• Scientific/Engineering/Artificial Intelligence
• Scientific/Engineering/Image Recognition
• Scientific/Engineering/Information Analysis
• Software Development

Related Packages

Errors

A list of common autogluon errors.

Code Examples

Here are some autogluon code examples and snippets.

GitHub Issues

The autogluon package has 386 open issues on GitHub

• [BUG] Cloning _FULL model gives TypeError
• optimize_for_deployment for TimeSeriesPredictor
• Update Docker Image to Match AutoGluon v1.5
• [BUG] [Chronos-2] Fine-tuned checkpoint missing after refit_full
• Small documentation inconsistency on "good" vs "medium" presets inference speed.
• [BUG] DyStack fails to complete despite having converged?
• [timeseries] Fix environment-dependent errors in PredictionCache
• Support for WarpGBM
• [Tabular] Parallel Predict Prototype
• [BUG] [tabular] Dynamic stacking and using groups is incompatible
• Support Non-CUDA Devices (e.g., MPS, XPU) for Chronos Models by Allowing Device Overrides
• Fix focal loss alpha parsing for numpy float types
• [BUG] (Including PreQuantile) TabularEnsemble in timeseries prediction cannot handle known covariates during training
• [BUG] Training fails due to fastai ImportError when already installed
• [docs] Documentation should be updated with new models

See more issues on GitHub