fix: set sagemaker_connection and image_uri in register method

src/sagemaker/sklearn/model.py

@@ -138,6 +138,73 @@ def __init__(
 
         self.model_server_workers = model_server_workers
 
+    def register(
+        self,
+        content_types,
+        response_types,
+        inference_instances,
+        transform_instances,
+        model_package_name=None,
+        model_package_group_name=None,
+        image_uri=None,
+        model_metrics=None,
+        metadata_properties=None,
+        marketplace_cert=False,
+        approval_status=None,
+        description=None,
+    ):
+        """Creates a model package for creating SageMaker models or listing on Marketplace.
+
+        Args:
+            content_types (list): The supported MIME types for the input data.
+            response_types (list): The supported MIME types for the output data.
+            inference_instances (list): A list of the instance types that are used to
+                generate inferences in real-time.
+            transform_instances (list): A list of the instance types on which a transformation
+                job can be run or on which an endpoint can be deployed.
+            model_package_name (str): Model Package name, exclusive to `model_package_group_name`,
+                using `model_package_name` makes the Model Package un-versioned (default: None).
+            model_package_group_name (str): Model Package Group name, exclusive to
+                `model_package_name`, using `model_package_group_name` makes the Model Package
+                versioned (default: None).
+            image_uri (str): Inference image uri for the container. Model class' self.image will
+                be used if it is None (default: None).
+            model_metrics (ModelMetrics): ModelMetrics object (default: None).
+            metadata_properties (MetadataProperties): MetadataProperties object (default: None).
+            marketplace_cert (bool): A boolean value indicating if the Model Package is certified
+                for AWS Marketplace (default: False).
+            approval_status (str): Model Approval Status, values can be "Approved", "Rejected",
+                or "PendingManualApproval" (default: "PendingManualApproval").
+            description (str): Model Package description (default: None).
+
+        Returns:
+            A `sagemaker.model.ModelPackage` instance.
+        """
+        instance_type = inference_instances[0]
+        self._init_sagemaker_session_if_does_not_exist(instance_type)
+
+        if image_uri:
+            self.image_uri = image_uri
+        if not self.image_uri:
+            self.image_uri = self.serving_image_uri(
+                region_name=self.sagemaker_session.boto_session.region_name,
+                instance_type=instance_type,
+            )
+        return super(SKLearnModel, self).register(
+            content_types,
+            response_types,
+            inference_instances,
+            transform_instances,
+            model_package_name,
+            model_package_group_name,
+            image_uri,
+            model_metrics,
+            metadata_properties,
+            marketplace_cert,
+            approval_status,
+            description,
+        )
+
     def prepare_container_def(self, instance_type=None, accelerator_type=None):
         """Container definition with framework configuration set in model environment variables.