Auto-sklearn

Auto-sklearn is an open-source Automated Machine Learning (AutoML) tool built on top of scikit-learn. It automatically selects the best machine learning models, optimizes hyperparameters using Bayesian optimization, and creates ensembles for classification and regression tasks. It simplifies building accurate ML pipelines with minimal coding while handling preprocessing, evaluation, and cross-validation.

Features of Auto-sklearn:

• Automates model selection and hyperparameter tuning for supervised learning tasks.
• Supports classification and regression problems with numerical and categorical features.
• Automatically preprocesses data including imputation, scaling, and encoding.
• Performs cross-validation and provides robust performance metrics (accuracy, F1-score, RMSE, etc.).
• Builds ensembles of top-performing models to improve predictive performance.
• Supports parallel computation for faster model search and efficient resource use.
• Integrates seamlessly with scikit-learn pipelines.
• Open-source and freely available under the BSD License, allowing customization and extension.

To check the version of Auto-sklearn, run the following commands:
# sudo su
# sudo apt update
# cd /opt/autosklearn
# source autosklearn-env/bin/activate
# python -c "import autoklearn; print(autosklearn.__version__)"

Disclaimer: Auto-sklearn is open-source software distributed under the BSD License. It is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors of Auto-sklearn are not responsible for any damages, losses, or consequences resulting from its use. Users are encouraged to review licensing terms and comply with applicable regulations when using Auto-sklearn.