Merge pull request #16 from oracle/2.6.x

Release version 2.6.7

ads/ads_version.json

@@ -1,3 +1,3 @@
 {
-  "version": "2.6.6"
+  "version": "2.6.7"
 }

ads/automl/provider.py

@@ -28,6 +28,7 @@
     runtime_dependency,
     OptionalDependency,
 )
+from ads.common.decorator.deprecate import deprecated
 from ads.dataset.label_encoder import DataFrameLabelEncoder
 from ads.dataset.helper import is_text_data
 
@@ -305,6 +306,10 @@ def decide_estimator(self, **kwargs):
 
 # An installation of oracle labs automl is required only for this class
 class OracleAutoMLProvider(AutoMLProvider, ABC):
+    @deprecated(
+        "2.6.7",
+        details="Oracle AutoML is recommended to be directly instantiated by importing automlx package",
+    )
     def __init__(
         self, n_jobs=-1, loglevel=None, logger_override=None, model_n_jobs: int = 1
     ):

ads/common/data_serializer.py

@@ -66,10 +66,9 @@ def __init__(
             pass
         else:
             raise TypeError(
-                "The provided data type is not json serializable. "
                 "The supported data types are Dict, str, list, "
                 "numpy.ndarray, pd.core.series.Series, "
-                "pd.core.frame.DataFrame. Please "
+                "pd.core.frame.DataFrame, bytes. Please "
                 "convert to the supported data types first. "
             )
 
@@ -106,6 +105,7 @@ def send(self, endpoint: str, dry_run: bool = False, **kwargs):
             )
             request_kwargs = {"json": self.to_dict()}
         request_kwargs["headers"] = headers
+
         if dry_run:
             request_kwargs["headers"]["Accept"] = "*/*"
             req = requests.Request("POST", endpoint, **request_kwargs).prepare()

ads/common/model_metadata.py

@@ -142,6 +142,7 @@ class MetadataCustomKeys(str, metaclass=ExtendedEnumMeta):
     VALIDATION_DATASET_NUMBER_OF_ROWS = "ValidationDatasetNumberOfRows"
     VALIDATION_DATASET_NUMBER_OF_COLS = "ValidationDataSetNumberOfCols"
     CLIENT_LIBRARY = "ClientLibrary"
+    MODEL_FILE_NAME = "ModelFileName"
 
 
 class MetadataCustomCategory(str, metaclass=ExtendedEnumMeta):

ads/common/model_metadata_mixin.py

@@ -173,14 +173,30 @@ def _populate_metadata_custom(self):
                 category=MetadataCustomCategory.TRAINING_ENV,
             )
         )
-        model_metadata_items.append(
-            ModelCustomMetadataItem(
-                key=MetadataCustomKeys.MODEL_SERIALIZATION_FORMAT,
-                value=self.model_file_name.split(".")[-1],
-                description="The model serialization format.",
-                category=MetadataCustomCategory.TRAINING_PROFILE,
+
+        if self.model_file_name:
+            model_metadata_items.append(
+                ModelCustomMetadataItem(
+                    key=MetadataCustomKeys.MODEL_SERIALIZATION_FORMAT,
+                    value=self.model_file_name.split(".")[-1],
+                    description="The model serialization format.",
+                    category=MetadataCustomCategory.TRAINING_PROFILE,
+                )
             )
-        )
+            model_metadata_items.append(
+                ModelCustomMetadataItem(
+                    key=MetadataCustomKeys.MODEL_FILE_NAME,
+                    value=self.model_file_name,
+                    description="The model file name.",
+                    category=MetadataCustomCategory.OTHER,
+                )
+            )
+        else:
+            logger.warning(
+                "Unable to extract a model serialization format. "
+                "The `model_file_name` is not provided."
+            )
+
         model_metadata_items.append(
             ModelCustomMetadataItem(
                 key=MetadataCustomKeys.CLIENT_LIBRARY,