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77 lines
2.8 KiB
Markdown
77 lines
2.8 KiB
Markdown
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---
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id: "matlab-comparison-framework"
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title: "Create MATLAB comparison framework for LFM kernel validation"
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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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- validation
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- matlab
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- comparison
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---
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# Create MATLAB comparison framework for LFM kernel validation
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## Description
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Create a comprehensive comparison framework to validate our GPy LFM kernel implementation against the MATLAB reference implementation in GPmat.
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## Background
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- We have analyzed the complete MATLAB implementation (SIM, DISIM kernels)
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- Need to validate our GPy implementation against the reference
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- Comparison framework will ensure mathematical correctness and numerical accuracy
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- Will help catch implementation errors and validate parameter handling
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## Implementation Tasks
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- [x] Create MATLAB comparison script (`scripts/compare_with_matlab.py`)
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- [ ] Test MATLAB script with existing GPmat installation
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- [ ] Create standard test cases for SIM and DISIM kernels
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- [ ] Implement GPy computation integration in comparison script
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- [ ] Add parameter validation and constraint testing
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- [ ] Create visualization tools for comparison results
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- [ ] Add cross-kernel computation validation
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- [ ] Document comparison methodology and tolerance standards
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## Test Cases to Implement
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- [ ] Basic SIM kernel with standard parameters
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- [ ] SIM kernel with fast decay and no delay
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- [ ] Basic DISIM kernel with hierarchical parameters
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- [ ] Edge cases (zero delay, extreme decay values)
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- [ ] Multi-output scenarios
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- [ ] Cross-kernel computations (SIM × RBF, DISIM × SIM)
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## Acceptance Criteria
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- [ ] MATLAB comparison script runs successfully
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- [ ] Standard test cases produce consistent results
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- [ ] Comparison framework can detect implementation errors
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- [ ] Tolerance standards defined and documented
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- [ ] Results visualization and reporting implemented
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- [ ] Framework integrated into development workflow
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## Implementation Notes
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- Use scipy.io for loading MATLAB .mat files
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- Support both MATLAB and Octave as reference implementations
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- Implement robust error handling for missing dependencies
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- Create standardized test data sets for reproducible comparisons
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- Consider numerical precision differences between platforms
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## Related
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- Backlog: lfm-kernel-code-review
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- Backlog: implement-lfm-kernel-core
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- MATLAB Implementation: ~/lawrennd/GPmat/matlab/
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## Progress Updates
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### 2025-08-15
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Created initial MATLAB comparison framework:
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- Implemented `MATLABComparison` class with automatic MATLAB/Octave detection
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- Created test case generation for SIM and DISIM kernels
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- Added result comparison with tolerance checking
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- Framework ready for integration with GPy implementation
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- Script can generate MATLAB code dynamically for different test cases
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