Train the similarity solution for APM to categorize applications while registering

  • Release version: Washingtondc
  • Updated February 1, 2024
  • 1 minute to read

    • Train the business application similarity definition included within the Predictive Intelligence for Application Portfolio Management to suggest a category for a business application when it is being registered or on-boarded.

    Before you begin

    Ensure that the Application Portfolio Management – Predictive Intelligence plugin (com.snc.apm.predictive_intelligence) is activated.

    Role required: ml_admin

    Procedure

    1. Navigate to All > Predictive Intelligence > Similarity > Solution Definitions.
    2. In the Similarity Definitions [ML view], click the Business Application Similarity (ml_sn_sn_apm_ml_global_ba_similarity) label.
    3. On the Similarity Definition Business Application Similarity [ML view] form, verify the default values for business application similarity.

      For more information on the Similarity Definition form fields, see Create and train a similarity solution.

      Note:
      Set the application scope to Application Portfolio Management – Predictive Intelligence to edit the form. Click the word here at the end of the warning message that appears.
      Table 1. Similarity Definition form
      Field Definition
      Label Unique name for your similarity definition.
      Word Corpus Collection of words and phrases related to the name and description of the business application that functions as the vocabulary the system uses to compare your instance records based on their textual similarity.
      Processing Language Dominant language of the dataset that you are training on the solution definition. If the dataset language is Italian, choose Italian.
      Note:
      English processing is applied to all datasets by default.
      Stopwords Existing word corpus that is relevant to your solution. You can also add stopwords to the list, for example, words like Application.
      Training Frequency Option to retrain from once daily or every 30 days in three months increments up to 180 days.
      Update Frequency Frequency at which you want to refresh the data you use to retrieve your similarity results.
    4. Click Update & Retrain.

    What to do next

    You can create a similarity solution with words and phrases related to the name and description of the business application that triggers a prediction. You can also set a training frequency for your machine-learning solution to collect and compare existing records with new records for a similarity definition.

    Use the similarity solution to categorize an application while it is on-boarded.