feature: support for describing hyperparameter tuning job

src/sagemaker/session.py

@@ -1722,6 +1722,20 @@ def create_tuning_job(
         LOGGER.debug("tune request: %s", json.dumps(tune_request, indent=4))
         self.sagemaker_client.create_hyper_parameter_tuning_job(**tune_request)
 
+    def describe_tuning_job(self, job_name):
+        """Calls the DescribeHyperParameterTuningJob API for the given job name
+            and returns the response.
+
+            Args:
+                job_name (str): The name of the hyperparameter tuning job to describe.
+
+            Returns:
+                dict: A dictionary response with the hyperparameter tuning job description.
+        """
+        return self.sagemaker_client.describe_hyper_parameter_tuning_job(
+            HyperParameterTuningJobName=job_name
+        )
+
     @classmethod
     def _map_tuning_config(
         cls,

src/sagemaker/tuner.py

@@ -750,6 +750,10 @@ def stop_tuning_job(self):
         self._ensure_last_tuning_job()
         self.latest_tuning_job.stop()
 
+    def describe(self):
+        """Returns a response from the DescribrHyperParameterTuningJob API call."""
+        return self.sagemaker_session.describe_tuning_job(self._current_job_name)
+
     def wait(self):
         """Wait for latest hyperparameter tuning job to finish."""
         self._ensure_last_tuning_job()

tests/unit/test_session.py

@@ -2125,3 +2125,11 @@ def test_list_candidates_for_auto_ml_job_with_optional_args(sagemaker_session):
     sagemaker_session.sagemaker_client.list_candidates_for_auto_ml_job.assert_called_with(
         **COMPLETE_EXPECTED_LIST_CANDIDATES_ARGS
     )
+
+
+def test_describe_tuning_Job(sagemaker_session):
+    job_name = "hyper-parameter-tuning"
+    sagemaker_session.describe_tuning_job(job_name=job_name)
+    sagemaker_session.sagemaker_client.describe_hyper_parameter_tuning_job.assert_called_with(
+        HyperParameterTuningJobName=job_name
+    )

tests/unit/test_tuner.py

@@ -1423,6 +1423,11 @@ def test_create_warm_start_tuner_with_single_estimator_dict(
     assert tuner.warm_start_config.parents == additional_parents
 
 
+def test_describe(tuner):
+    tuner.describe()
+    tuner.sagemaker_session.describe_tuning_job.assert_called_once()
+
+
 def _convert_tuning_job_details(job_details, estimator_name):
     """Convert a tuning job description using the 'TrainingJobDefinition' field into a new one using a single-item
        'TrainingJobDefinitions' field (list).