Merge pull request #239208 from lgayhardt/patch-161

Change enable_explanation to precompute_explanation

Author: prmerger-automator[bot]

articles/machine-learning/how-to-responsible-ai-vision-insights.md

@@ -91,7 +91,7 @@ The RAI vision insights component also accepts the following parameters:
 | `task_type`                       | Specifies whether the scenario of the model.                                       | String                       |
 | `maximum_rows_for_test_dataset`   | The maximum number of rows allowed in the test dataset, for performance reasons.   | Integer, defaults to 5,000   |
 | `classes`                         | The full list of class labels in the training dataset.                             | Optional list of strings     |
-| `enable_explanation`              | Enable to generate an explanation for the model.                                   | Boolean                      |
+| `precompute_explanation`              | Enable to generate an explanation for the model.                                   | Boolean                      |
 | `enable_error_analysis`           | Enable to generate an error analysis for the model.                                | Boolean                      |
 | `use_model_dependency`            | The Responsible AI environment doesn't include the model dependency, install the model dependency packages when set to True. | Boolean |
 | `use_conda`                       | Install the model dependency packages using conda if True, otherwise using pip.    | Boolean                      |
@@ -122,7 +122,7 @@ After specifying and submitting the pipeline to Azure Machine Learning for execu
       target_column_name: ${{parent.inputs.target_column_name}}
       maximum_rows_for_test_dataset: 5000
       classes: '[“cat”, “dog”]'
-      enable_explanation: True
+      precompute_explanation: True
       enable_error_analysis: True
 
 ```