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Co-authored-by: Eliot V Scott <[email protected]>
Co-authored-by: Shiv Lakshminarayan <[email protected]>

Author: 3 people

Diff for: src/stepfunctions/steps/sagemaker.py

@@ -276,7 +276,7 @@ def __init__(self, state_id, transformer, job_name, model_name, data, data_type=
             transform_parameters['Tags'] = tags if isinstance(tags, Placeholder) else tags_dict_to_kv_list(tags)
 
         if Field.Parameters.value in kwargs and isinstance(kwargs[Field.Parameters.value], dict):
-            # Update processing_parameters with input parameters
+            # Update transform_parameters with input parameters
             merge_dicts(transform_parameters, kwargs[Field.Parameters.value])
 
         kwargs[Field.Parameters.value] = transform_parameters

Diff for: tests/integ/test_sagemaker_steps.py

@@ -181,7 +181,7 @@ def test_transform_step(trained_estimator, sfn_client, sfn_role_arn):
 
 
 def test_transform_step_with_placeholder(trained_estimator, sfn_client, sfn_role_arn):
-    # Create transformer from previously created estimator
+    # Create transformer from supplied estimator
     job_name = generate_job_name()
     pca_transformer = trained_estimator.transformer(instance_count=INSTANCE_COUNT, instance_type=INSTANCE_TYPE)