two version of R2R are here HEAD master

1 files changed, 55 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_monitoring/target.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_monitoring/target.py
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+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/entities/_monitoring/target.py
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+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from typing import Optional, Union
+
+from azure.ai.ml._restclient.v2023_06_01_preview.models import MonitoringTarget as RestMonitoringTarget
+from azure.ai.ml.constants._monitoring import MonitorTargetTasks
+
+
+class MonitoringTarget:
+    """Monitoring target.
+
+    :keyword ml_task: Type of task. Allowed values: Classification, Regression, and QuestionAnswering
+    :paramtype ml_task: Optional[Union[str, MonitorTargetTasks]]
+    :keyword endpoint_deployment_id: The ARM ID of the target deployment. Mutually exclusive with model_id.
+    :paramtype endpoint_deployment_id: Optional[str]
+    :keyword model_id: ARM ID of the target model ID. Mutually exclusive with endpoint_deployment_id.
+    :paramtype model_id: Optional[str]
+
+    .. admonition:: Example:
+
+        .. literalinclude:: ../samples/ml_samples_spark_configurations.py
+            :start-after: [START spark_monitor_definition]
+            :end-before: [END spark_monitor_definition]
+            :language: python
+            :dedent: 8
+            :caption: Setting a monitoring target using endpoint_deployment_id.
+    """
+
+    def __init__(
+        self,
+        *,
+        ml_task: Optional[Union[str, MonitorTargetTasks]] = None,
+        endpoint_deployment_id: Optional[str] = None,
+        model_id: Optional[str] = None,
+    ):
+        self.endpoint_deployment_id = endpoint_deployment_id
+        self.model_id = model_id
+        self.ml_task = ml_task
+
+    def _to_rest_object(self) -> RestMonitoringTarget:
+        return RestMonitoringTarget(
+            task_type=self.ml_task if self.ml_task else "classification",
+            deployment_id=self.endpoint_deployment_id,
+            model_id=self.model_id,
+        )
+
+    @classmethod
+    def _from_rest_object(cls, obj: RestMonitoringTarget) -> "MonitoringTarget":
+        return cls(
+            ml_task=obj.task_type,
+            endpoint_deployment_id=obj.endpoint_deployment_id,
+            model_id=obj.model_id,
+        )