Merge branch 'master' into neo-input-shape-derivation-comment

Author: HappyAmazonian

doc/api/prep_data/feature_store.rst

@@ -6,7 +6,6 @@ Feature Group
 
 .. autoclass:: sagemaker.feature_store.feature_group.FeatureGroup
     :members:
-    :exclude-members: load_feature_definitions
     :show-inheritance:
 
 .. autoclass:: sagemaker.feature_store.feature_group.AthenaQuery

src/sagemaker/feature_store/feature_group.py

@@ -759,8 +759,8 @@ def load_feature_definitions(
         """Load feature definitions from a Pandas DataFrame.
 
         Column name is used as feature name. Feature type is inferred from the dtype
-        of the column. Dtype int_, int8, int16, int32, int64, uint8, uint16, uint32
-        and uint64 are mapped to Integral feature type. Dtype float_, float16, float32
+        of the column. Dtype :literal:`int_`, int8, int16, int32, int64, uint8, uint16, uint32
+        and uint64 are mapped to Integral feature type. Dtype :literal:`float_`, float16, float32
         and float64 are mapped to Fractional feature type. string dtype is mapped to
         String feature type.
 

src/sagemaker/model_card/model_card.py

@@ -957,7 +957,9 @@ def _create_training_details(training_job_data: dict, cls: "TrainingDetails", **
                 "hyper_parameters": [
                     HyperParameter(key, value)
                     for key, value in training_job_data["HyperParameters"].items()
-                ],
+                ]
+                if "HyperParameters" in training_job_data
+                else [],
             }
             kwargs.update({"training_job_details": TrainingJobDetails(**job)})
             instance = cls(**kwargs)