candle-annotator/services/ml
Marko Djordjevic 6d0d67e39b fix(ml): make pair and timeframe optional in PredictRequest
- Change pair and timeframe fields from required to optional
- Frontend only sends candles array, not pair/timeframe metadata
- These fields are only used for logging, not prediction logic
- Update logging to handle None values with 'unknown' fallback
- Fixes 422 validation error on /predict endpoint
2026-02-15 21:43:14 +01:00
..
.dvc feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00
app fix(ml): make pair and timeframe optional in PredictRequest 2026-02-15 21:43:14 +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): correct CCI indicator signature to use HLC prices 2026-02-15 21:09:47 +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