- Implemented SMS error decomposition in `summarize_sms_errors` to provide detailed breakdowns of state matching score losses by error type.
- Updated the app to display SMS error contributions in the evaluation results, including a new chart for visual representation.
- Modified detector choice retrieval to include display labels for state detectors in the change point detection task.
- Improved algorithm metadata in the About tab, including taxonomy and complexity information.
- Refactored synthetic series generation to enforce minimum segment lengths and added support for recurring states with level matching.
- Added tests for SMS error decomposition and state detector evaluation from the change point detection menu.
fix(app): update README and dependencies for improved detector support; add tests for runtime detector tracking
- Add Home tab with logo, project overview, demo screenshot
- Rename 'MoCap (built-in)' -> 'Sample dataset', display first by default
- Synthetic generator: new Gaussian-process pattern (default), continuous=True
to suppress segment-boundary discontinuities
- 'Use GT' button now also fills n_states, n_clusters, n_regimes, k_max,
n_segments; GT-like params reordered to top of the panel
- Each algorithm header shows per-method asymptotic complexity in math
notation, colorised by tier (linear / log-linear / quadratic / cubic),
with tooltip + 'Complexity notation' accordion explaining n, d, l, n_cp, n_s
- Algorithm families: drop 'Other' fallback, lookup via curated ALGO_BY_NAME
(fixes InformationGain etc.)
- About tab: replace Status column with Complexity, drop group separator rows
- Detectors: enable Beast via vendored Rbeast; exclude SNLDS / ChangeFinder;
GreedyGaussian correctly tagged change_point_detection only
- requirements.txt: document optional Rbeast dependency
- ru…
