• 1 About me
• 2 Abstract
• 3 Milestones
• 3.1 GPSearchCV
• 3.2 Unit tests
• 3.3 Benchmarks
• 3.4 Documentation
• 4 Additional features
• 4.1 Marginalizing over kernel parameters
• 4.2 Parallelization of hyper-parameter search
• 4.3 Additional acquisition functions
• 4.4 Modeling cost for evaluation the fitness function
• 5 Tentative Timeline
• Now – 25 May: Learning period
• Week 1, 2: Gaussian Processes
• Week 3, 4: Acquisition function and optimization pipeline
• Week 5, 6: First working prototype GPSearchCV
• Week 7, 9: Additional Features
• Week 10, 11: Wrap-up
• Week 12: Documentation
• References