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69 lines
2.6 KiB
Markdown
69 lines
2.6 KiB
Markdown
---
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id: "design-modern-lfm-kernel"
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title: "Design modern LFM kernel architecture"
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status: "In Progress"
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priority: "High"
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created: "2025-08-15"
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last_updated: "2025-08-15"
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owner: "Neil Lawrence"
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github_issue: ""
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dependencies: "lfm-kernel-code-review"
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tags:
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- lfm
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- kernel
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- design
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- architecture
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---
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# Design modern LFM kernel architecture
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## Description
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Design a modern LFM kernel implementation that follows GPy's current architectural patterns and uses the multioutput kernel approach with output index as input.
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## Background
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- Current GPy LFM implementations don't use the modern multioutput kernel approach
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- Need to design a unified LFM kernel that integrates well with GPy's current framework
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- Should maintain backward compatibility while providing improved functionality
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## Design Requirements
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- [ ] Use GPy's multioutput kernel approach with output index as input
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- [ ] Follow consistent API design with other GPy kernels
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- [ ] Implement proper parameter handling and constraints
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- [ ] Support different base kernels for latent functions
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- [ ] Enable efficient gradient computation
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- [ ] Maintain backward compatibility with existing implementations
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## Design Tasks
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- [ ] Define kernel class structure and inheritance hierarchy
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- [ ] Design parameter handling for mass, damper, spring, sensitivity, delay
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- [ ] Plan integration with GPy's multioutput framework
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- [ ] Design cross-kernel computation methods
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- [ ] Design efficient computation methods for large datasets
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- [x] Plan parameter tying and constraint handling (assumed to be addressed separately)
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## Acceptance Criteria
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- [ ] Complete design specification document
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- [ ] API design that follows GPy patterns
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- [ ] Integration plan with existing GPy infrastructure
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- [ ] Performance considerations documented
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- [ ] Backward compatibility strategy defined
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## Implementation Notes
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- Study how other multioutput kernels in GPy handle output indices
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- Design for extensibility to different differential equation types
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- Plan for efficient computation of cross-kernel terms
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- **Parameter Tying**: Assumed to be addressed by separate CIP-0002 work
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- **Design Focus**: Clean LFM implementation without parameter tying workarounds
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## Related
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- CIP: 0001 (LFM kernel implementation)
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- Backlog: lfm-kernel-code-review
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## Progress Updates
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### 2025-08-15
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Design task started after completion of code review:
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- Code review identified parameter tying as a fundamental limitation
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- Decision made to proceed with clean LFM implementation assuming parameter tying addressed separately
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- Focus on core LFM functionality without parameter tying workarounds
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- Ready to begin detailed design of modern LFM kernel architecture
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