feat: enhance IRT models and expand test coverage #9
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kholdrex
commented
Mar 1, 2025
kholdrex
commented
- Refactor Rasch, 2PL, and 3PL models to:
- handle missing data more robustly
- clamp parameter ranges (discriminations, guessing)
- use multiple convergence checks (log-likelihood + param deltas)
- apply adaptive learning rate properly
- Add extensive RSpec tests:
- Edge cases (single examinee/item, all-correct/all-incorrect)
- Missing rows/columns
- Hyperparameter extremes (very large/small learning rate)
- Repeated fits, deterministic seed checks
- Larger random dataset test for performance
- Improves overall stability, readability, and reliability of the gem
- Refactor Rasch, 2PL, and 3PL models to: - handle missing data more robustly - clamp parameter ranges (discriminations, guessing) - use multiple convergence checks (log-likelihood + param deltas) - apply adaptive learning rate properly - Add extensive RSpec tests: - Edge cases (single examinee/item, all-correct/all-incorrect) - Missing rows/columns - Hyperparameter extremes (very large/small learning rate) - Repeated fits, deterministic seed checks - Larger random dataset test for performance - Improves overall stability, readability, and reliability of the gem
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