| .. |
|
.dvc
|
feat(ml): add database schema, config parser, and DVC setup
|
2026-02-15 12:08:53 +01:00 |
|
app
|
fix(api): add GET /api/charts/[id] and fix batch prediction
|
2026-02-15 21:49:22 +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): cast OHLCV arrays to float64 for TA-Lib compatibility
|
2026-02-15 21:52:45 +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 |
