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Integrate backlog items into CIP-0001

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- Link implementation plan steps to specific backlog items
- Add related backlog items section
- Update implementation status with backlog references
- Create clear traceability between CIP and detailed tasks
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Neil Lawrence 2025-08-15 08:25:35 +02:00
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commit 26ca1a6930
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cip/cip0001.md
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@ -48,18 +48,19 @@ Where:
## Implementation Plan
1. **Code Review and Documentation**:
1. **Code Review and Documentation** (Backlog: `lfm-kernel-code-review`):
- Review existing `EQ_ODE1`, `EQ_ODE2`, and IBP LFM implementations
- Document current limitations and inconsistencies
- Identify what can be reused and what needs modernization
- Analyze MATLAB LFM implementation structure and patterns
2. **Design Modern LFM Kernel**:
2. **Design Modern LFM Kernel** (Backlog: `design-modern-lfm-kernel`):
- Create `GPy.kern.LFM` class following GPy's current patterns
- Use GPy's multioutput kernel approach with output index as input
- Design consistent API with other GPy kernels
- Implement proper parameter handling and constraints
3. **Core Implementation**:
3. **Core Implementation** (Backlog: `implement-lfm-kernel-core`):
- Implement K() and Kdiag() methods
- Add support for different base kernels for each latent function
- Implement efficient gradient computation
@ -113,13 +114,18 @@ Specifically, it implements solutions for:
- Flexible kernel parameterization
- Efficient gradient computation
## Related Backlog Items
- **lfm-kernel-code-review**: Review existing LFM implementations
- **design-modern-lfm-kernel**: Design modern LFM kernel architecture
- **implement-lfm-kernel-core**: Implement core LFM kernel functionality
## Implementation Status
- [ ] Review existing LFM implementations
- [ ] Document current limitations and design decisions
- [ ] Design modern LFM kernel architecture
- [ ] Implement core LFM kernel computation
- [ ] Add parameter handling and constraints
- [ ] Implement gradient computation
- [ ] Review existing LFM implementations (Backlog: `lfm-kernel-code-review`)
- [ ] Document current limitations and design decisions (Backlog: `lfm-kernel-code-review`)
- [ ] Design modern LFM kernel architecture (Backlog: `design-modern-lfm-kernel`)
- [ ] Implement core LFM kernel computation (Backlog: `implement-lfm-kernel-core`)
- [ ] Add parameter handling and constraints (Backlog: `implement-lfm-kernel-core`)
- [ ] Implement gradient computation (Backlog: `implement-lfm-kernel-core`)
- [ ] Create comprehensive unit tests
- [ ] Write documentation and examples
- [ ] Integration testing with existing GPy infrastructure