Install
User Guide
API
Examples
Community
Getting Started
Tutorial
What's new
Glossary
Development
FAQ
Support
Related packages
Roadmap
About us
GitHub
Other Versions and Download
More
Getting Started
Tutorial
What's new
Glossary
Development
FAQ
Support
Related packages
Roadmap
About us
GitHub
Other Versions and Download
Toggle Menu
Prev
Up
Next
scikit-learn 1.1.3
Other versions
Please
cite us
if you use the software.
User Guide
1. Supervised learning
2. Unsupervised learning
3. Model selection and evaluation
4. Inspection
5. Visualizations
6. Dataset transformations
7. Dataset loading utilities
8. Computing with scikit-learn
8.1. Strategies to scale computationally: bigger data
8.2. Computational Performance
8.3. Parallelism, resource management, and configuration
9. Model persistence
10. Common pitfalls and recommended practices
8.
Computing with scikit-learn
¶
8.1. Strategies to scale computationally: bigger data
8.1.1. Scaling with instances using out-of-core learning
8.2. Computational Performance
8.2.1. Prediction Latency
8.2.2. Prediction Throughput
8.2.3. Tips and Tricks
8.3. Parallelism, resource management, and configuration
8.3.1. Parallelism
8.3.2. Configuration switches