candle-annotator/services/ml
Marko Djordjevic 317f925c43 fix(ml): handle missing volume data and skip volume-dependent indicators
- Fill volume with 0 when column is absent from candle data
- Skip MFI/OBV/AD/ADOSC indicators when no real volume data available
- Fix pandas FutureWarning for inplace fillna in candle_features
- Remove temporary debug NaN logging
2026-02-15 21:56:14 +01:00
..
.dvc feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00
app fix(ml): handle missing volume data and skip volume-dependent indicators 2026-02-15 21:56:14 +01:00
candle_ml.egg-info feat(ml): add TA-Lib annotation generation and import workflow 2026-02-15 19:18:28 +01:00
config fix(ml): complete ML pipeline fixes and setup 2026-02-15 21:29:54 +01:00
features fix(ml): handle missing volume data and skip volume-dependent indicators 2026-02-15 21:56:14 +01:00
migrations feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00
mlruns fix(frontend): update ModelInfoResponse types to match backend structure 2026-02-15 21:39:38 +01:00
models fix(ml): complete ML pipeline fixes and setup 2026-02-15 21:29:54 +01:00
training fix(ml): complete ML pipeline fixes and setup 2026-02-15 21:29:54 +01:00
.dvcignore feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00
Dockerfile feat: add ML service scaffolding with Python FastAPI, Docker, and MLflow setup 2026-02-15 11:58:31 +01:00
generate_talib_annotations.py fix(ml): handle date strings in TA-Lib annotation generator 2026-02-15 19:30:38 +01:00
pipeline.py feat(ml): implement training stage with MLflow tracking and model wrappers 2026-02-15 14:22:19 +01:00
pyproject.toml feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00
talib_annotations.json fix(scripts): add created_at timestamps to annotation import 2026-02-15 19:36:55 +01:00
uv.lock feat(ml): add TA-Lib annotation generation and import workflow 2026-02-15 19:18:28 +01:00