- multi_model_metrics: publish gbt / mlp / cnn / knn_semi / gru / lstm / bert (knn handled by knn streamer); read both *_train.json and *_eval.json with macro_f1.point fallback - dashboard.css: add palette gradients for the four non-canonical names so the bars render with a fill colour - dashboard.js: open the bar's visible scale to the full 0–1 range so honest-low cross-host F1s show as a bar instead of clamping to 0% - ship lambda-live-detection-loop.py + dashboard request docs (scenes 7/8/12, sticky cache, lambda-inference-demo) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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| .. | ||
| __init__.py | ||
| __main__.py | ||
| _models.py | ||
| _publish.py | ||
| knn.py | ||
| metrics.py | ||
| multi_model_metrics.py | ||
| perf.py | ||
| profiles.py | ||
| replay.py | ||