| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
feat(prediction): training pipeline rework, sidecar perf, and Helm modelVolume deployment - Rework offline training: unified queue slots, per-target features, monotone constraints, ranking diagnostics, and Qwen3-32B example bundle (#36) - Optimize Predict hot path: batch slot inference, vectorized features, worker thread pool (#37) - Helm: modelVolume mount API, sidecar resource bounds, drop misleading defaults (#38) Co-authored-by: lileqi<lileqi@huawei.com> | 29 天前 |
| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
| 29 天前 |