Merge pull request #107426 from likebupt/update-upload-files-in-script

add grey boarder for screenshots, and fix the indentation

Author: PRMerger6

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

@@ -110,6 +110,8 @@ 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
+
+[!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

@@ -94,13 +94,15 @@ azureml_main <- function(dataframe1, dataframe2){
 ```
 
 After the pipeline is submitted successfully, 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)
 
 ## How to configure Execute R Script
 
 The **Execute R Script** module contains sample code that you can use as a starting point. To configure the **Execute R Script** module, provide a set of inputs and code to execute.
 
-![R-module](media/module/upload-image-in-r-script.png)
+![R-module](media/module/execute-r-script.png)
 
 Datasets stored in the designer are automatically converted to an R data frame when loaded with this module.
 
@@ -120,25 +122,25 @@ Datasets stored in the designer are automatically converted to an R data frame w
 
     To help you get started, the **R Script** text box is pre-populated with sample code, which you can edit or replace.
 
-```R
-# R version: 3.5.1
-# The script MUST contain a function named azureml_main
-# which is the entry point for this module.
+    ```R
+    # R version: 3.5.1
+    # The script MUST contain a function named azureml_main
+    # which is the entry point for this module.
 
-# The entry point function can contain up to two input arguments:
-#   Param<dataframe1>: a R DataFrame
-#   Param<dataframe2>: a R DataFrame
-azureml_main <- function(dataframe1, dataframe2){
-  print("R script run.")
+    # The entry point function can contain up to two input arguments:
+    #   Param<dataframe1>: a R DataFrame
+    #   Param<dataframe2>: a R DataFrame
+    azureml_main <- function(dataframe1, dataframe2){
+    print("R script run.")
 
-  # If a zip file is connected to the third input port, it is
-  # unzipped under "./Script Bundle". This directory is added
-  # to sys.path.
+    # If a zip file is connected to the third input port, it is
+    # unzipped under "./Script Bundle". This directory is added
+    # to sys.path.
 
-  # Return datasets as a Named List
-  return(list(dataset1=dataframe1, dataset2=dataframe2))
-}
-```
+    # Return datasets as a Named List
+    return(list(dataset1=dataframe1, dataset2=dataframe2))
+    }
+    ```
 
  * The script must contain a function named `azureml_main`, which is the entry point for this module.