| id | TASK-13 | |
|---|---|---|
| title | Feature output: dense float64 (n,k) numpy mode | |
| status | To Do | |
| assignee | ||
| created_date | 2026-07-18 15:52 | |
| updated_date | 2026-07-19 15:50 | |
| labels |
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| milestone | m-1 | |
| dependencies | ||
| priority | high | |
| ordinal | 13000 |
Dense float64 (n,k) matrix output on the columnar path for numeric feature sets (scalers/trees/numeric sklearn). Immediate win, no new engine. Part of the feature-output model (records/dense/sparse); see doc-10.
- #1 infer/transform can emit a dense float64 (n,k) matrix, sklearn-consumable
- #2 records mode (pydantic) unchanged