Add 'percentile' (with a 'p' fraction in [0,1]) and 'distinctCount' to the aggregation engine. Both are exact, computed from a per-metric value multiset (MetricState.valueCounts) maintained incrementally and delete-safe; percentile uses numpy-linear interpolation. The multiset is JSON-serializable so results survive persistence. 35 aggregation unit tests pass. |
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|---|---|---|
| .. | ||
| aggregation | ||
| brainy | ||
| graph | ||
| hnsw | ||
| import | ||
| indexes/columnStore | ||
| neural | ||
| performance | ||
| storage | ||
| types | ||
| utils | ||
| versioning | ||
| vfs | ||
| brainy-core.unit.test.ts | ||
| brainy-get-optimization.test.ts | ||
| create-entities-default.test.ts | ||
| fieldTypeInference.test.ts | ||
| plugin.test.ts | ||
| type-filtering.unit.test.ts | ||
| vfs-restart-fix.test.ts | ||
| workshop-vfs-diagnostic.test.ts | ||