feat(ingestion/mlflow): improve mlflow connector to pull run and experiments

metadata-ingestion/examples/recipes/mlflow_to_datahub.dhub.yaml

@@ -0,0 +1,9 @@
+source:
+  type: mlflow
+  config:
+    tracking_uri: "http://127.0.0.1:5000"
+
+sink:
+  type: datahub-rest
+  config:
+    server: "http://localhost:8080"

metadata-ingestion/src/datahub/ingestion/source/common/subtypes.py

@@ -85,3 +85,8 @@ class BIAssetSubTypes(StrEnum):
     # SAP Analytics Cloud
     SAC_STORY = "Story"
     SAC_APPLICATION = "Application"
+
+
+class MLAssetSubTypes(StrEnum):
+    MLFLOW_TRAINING_RUN = "ML Training Run"
+    MLFLOW_EXPERIMENT = "ML Experiment"