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Install
User Guide
API
Examples
Community
Getting Started
Release History
Glossary
Development
FAQ
Support
Related Projects
Roadmap
Governance
About us
GitHub
Choose version
Section Navigation
1. Supervised learning
1.1. Linear Models
1.2. Linear and Quadratic Discriminant Analysis
1.3. Kernel ridge regression
1.4. Support Vector Machines
1.5. Stochastic Gradient Descent
1.6. Nearest Neighbors
1.7. Gaussian Processes
1.8. Cross decomposition
1.9. Naive Bayes
1.10. Decision Trees
1.11. Ensembles: Gradient boosting, random forests, bagging, voting, stacking
1.12. Multiclass and multioutput algorithms
