Column availability in post-processing

These are the two processing formats available for the quest execution that determine which columns are available in the post-processing phase after the machine learning activities, such as model training and scoring:

  • Include only Label & Features columns for post-processing: This option will output the columns with an ML tag Label and Feature.
  • Include all columns for post-processing: This option will output all columns that enter the training activity, regardless of their ML tag. Columns with an ML tag Ignored will not be a part of the model training, but it is still possible to use them in the post-processing activities
Note: Classification problems are not in the scope of this feature.

To select the column availability option:

  1. Select a quest to run..
  2. Click the Columns icon located on the top toolbar to choose the processing format.
  3. Select your option:
    • Include only Label & Features columns for post-processing
    • Include all columns for post-processing
  4. Save the quest.
  5. Click Run.