damast.integrations.mlflow_tracker

MLflow backend for damast.integrations.tracking.ExperimentTracker.

Example:

```python from damast.integrations.mlflow_tracker import track_pipeline

with track_pipeline(pipeline, run_name=”ais-cleaning”) as tracker:

adf = pipeline.transform(df) tracker.log_result(adf)

```

Requires the optional mlflow dependency (uv add –optional mlflow mlflow).

Functions

track_pipeline(pipeline[, run_name, ...])

Report a DataProcessingPipeline run to MLflow.

Classes

MLflowTracker()

ExperimentTracker backed by MLflow.