update note, add grey boarder

Author: likebupt

articles/machine-learning/algorithm-module-reference/execute-python-script.md

@@ -109,10 +109,10 @@ def azureml_main(dataframe1 = None, dataframe2 = None):
 }
 ```
 
-After the pipeline is submitted successfully, you can preview the image in the right panel of the module
+After the pipeline run is finished, you can preview the image in the right panel of the module
 
-[!div class="mx-imgBorder"]
-![Uploaded-image](media/module/upload-image-in-python-script.png)
+> [!div class="mx-imgBorder"]
+> ![Uploaded-image](media/module/upload-image-in-python-script.png)
 
 ## How to configure Execute Python Script
 

articles/machine-learning/algorithm-module-reference/execute-r-script.md

@@ -93,10 +93,10 @@ azureml_main <- function(dataframe1, dataframe2){
 }
 ```
 
-After the pipeline is submitted successfully, you can preview the image in the right panel of the module
+After the pipeline run is finished, you can preview the image in the right panel of the module
 
-[!div class="mx-imgBorder"]
-![Uploaded-image](media/module/upload-image-in-r-script.png)
+> [!div class="mx-imgBorder"]
+> ![Uploaded-image](media/module/upload-image-in-r-script.png)
 
 ## How to configure Execute R Script
 

articles/machine-learning/algorithm-module-reference/latent-dirichlet-allocation.md

@@ -67,7 +67,8 @@ This module requires a dataset that contains a column of text, either raw or pre
 
     + Values in the feature topic matrix will be represented as a probability where `P(word|topic)`.
 
-    > **_ATTENTION:_** In Azure Machine Learning designer (preview), because the library that we based, scikit-learn, no longer support unnormalized *doc_topic_distr* output from version 0.19, therefore, in this module, **Normalize** parameter can only be applied to **Feature Topic matrix** output, **Transformed dataset** output is always normalized.
+    > [!NOTE] 
+    > In Azure Machine Learning designer (preview), because the library that we based, scikit-learn, no longer support unnormalized *doc_topic_distr* output from version 0.19, therefore, in this module, **Normalize** parameter can only be applied to **Feature Topic matrix** output, **Transformed dataset** output is always normalized.
 
 7. Select the option, **Show all options**, and then set it to TRUE if you want to view and then set additional advanced parameters.