pythonfix
autogluon.core 1.1.1
Fast and Accurate ML in 3 Lines of Code
Fast and Accurate ML in 3 Lines of Code
Stars: 7796, Watchers: 7796, Forks: 910, Open Issues: 369The autogluon/autogluon repo was created 5 years ago and the last code push was 2 days ago.
The project is extremely popular with a mindblowing 7796 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
- Author
- AutoGluon Community
- License
- Apache-2.0
- Homepage
- https://github.com/autogluon/autogluon
- PyPi:
- https://pypi.org/project/autogluon.core/
- 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-core errors.
Code Examples
Here are some autogluon-core code examples and snippets.
GitHub Issues
The autogluon-core package has 369 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.
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