
autogluon 0.6.1
0
AutoML for Image, Text, and Tabular Data
Contents
AutoML for Image, Text, and Tabular Data
Stars: 5187, Watchers: 5187, Forks: 678, Open Issues: 224The autogluon/autogluon
repo was created 3 years ago and was last updated Yesterday.
The project is extremely popular with a mindblowing 5187 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/
- 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 224 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.