feat(ml): enregistrer le modèle dans le MLflow Model Registry

2026-09-21 14:52:00 +02:00
parent 268496a8c4
commit 9312d3b60f
6 changed files with 74 additions and 1 deletions
@@ -77,6 +77,7 @@ def test_train_runs_end_to_end_on_synthetic_data_and_beats_a_dummy_baseline(
    assert baseline_metrics["n_observations"] == model_metrics["n_observations"]
    assert model_metrics["mae"] < baseline_metrics["mae"]

+
 def test_train_raises_when_the_validation_window_is_empty(tmp_path: Path) -> None:
    depart = datetime(2026, 1, 1, tzinfo=UTC)
    frame = make_frame("site-a", heures=50, depart=depart)  # trop court pour un lag de 168h