MLSolutionResult - Global (deprecated)

  • Release version: Yokohama
  • Updated January 30, 2025
  • 3 minutes to read
  • The MLSolutionResult API provides methods for managing cluster information and members of a clustering solution. You can embed the results in business logic.

    Note:
    This API has been deprecated and is intended to be removed in a future release. Refer to Using ML APIs for the most recent guidelines.

    MLSolutionResult - MLSolutionResult()

    Instantiates a new MLSolutionResult object.

    Table 1. Parameters
    Name Type Description
    None

    MLSolutionResult - findActiveSolution(String solutionName)

    Returns the solution object.

    This method only returns the solutions if the ml_solution definition and solution are active (that is, trained). For information, see Create and train a clustering solution .

    Table 2. Parameters
    Name Type Description
    solutionName String Name of the clustering ml_solution record.
    Table 3. Returns
    Type Description
    Object Clustering solution object for the specified solutionName if the ml_solution definition and solution is active, null otherwise.
    var solutionName = 'ml_incident_assignment';
      var MLS = new MLSolutionResult();
      var solution = MLS.findActiveSolution(solutionName);
      gs.print(solution);
            

    MLSolutionResult - getClusterAssignments(String solutionName, Object options)

    Returns all members of a clustering solution.

    Table 4. Parameters
    Name Type Description
    solutionName String Name of active cluster solution.
    options Object Optional. Narrows down the returned results by group and level within a clustering solution.

    Default: Return cluster memberships for all clusters.

    options.segmentation_field String Optional. Identifies the segmentation field for which to retrieve cluster memberships, for example, assignment group.

    This field provides the same grouping as options provided via Use Group By check box in Clustering Solution Definitions table. Information provided varies by table selected in the Table field. For information, see Create and train a clustering solution .

    options.cluster_id String Optional. The sys_id from the ml_cluster_summary table.
    options.rec_sys_id String Optional. The sys_id from the table record the cluster solution is based on.
    Table 5. Returns
    Type Description
    Array Array of outcome objects including:
    • segmentation – Field name by which to group data
    • cluster_num – Unique cluster number within a solution of clusters (that is, label)
    • rec_sys_id – The sys_id from the table record that the cluster solution is based on
    • rec_display_id – Name of the record associated with the record sys_id.

    The following example shows how to return all cluster members for a solution without setting values for the options object.

    var solutionName = "<Name_of_Active_Cluster_Solution>";
    var solutionResult = new MLSolutionResult();
    var outcome_array = solutionResult.getClusterAssignments(solutionName);
    for (var i = 0; i < outcome_array.length; i++) {
       gs.print(outcome_array [i].segmentation + ' ' + outcome_array [i].cluster_num + ' ' + outcome_array [i].rec_sys_id + ' ' + outcome_array [i].rec_display_id);
    }

    The following example shows how to return all cluster members for one record using options.rec_sys_id.

    var now_GR = new GlideRecord('incident');
    now_GR.get('sys_id');
    
    var solutionName = "solution_example";
    var solutionResult = new MLSolutionResult();
    var options = { "rec_sys_id": now_GR.getUniqueValue() };
    var outcome_array = solutionResult.getClusterAssignments(solutionName, options);
    for (var i = 0; i < outcome_array.length; i++) {
       gs.print(outcome_array [i].segmentation + ' ' + outcome_array [i].cluster_num + ' ' + outcome_array [i].rec_sys_id + ' ' + outcome_array [i].rec_display_id);
    }

    MLSolutionResult - getClusterInfo(String solutionName, Object options)

    Returns all outcome information for a clustering solution.

    Table 6. Parameters
    Name Type Description
    solutionName String Name of active cluster solution.
    options Object Optional. Narrows down the returned results by group and level within a clustering solution.

    Default: Return cluster memberships for all clusters.

    options.segmentation_field String Optional. Identifies the segmentation field for which to retrieve cluster memberships, for example, assignment group.

    This field provides the same grouping as options provided via Use Group By check box in Clustering Solution Definitions table. Information provided varies by table selected in the Table field. For information, see Create and train a clustering solution.

    options.cluster_id String Optional. The sys_id from the ml_cluster_summary table.
    Table 7. Returns
    Type Description
    Array Array of outcome objects including:
    • segmentation – Field name by which to group data
    • cluster_num – Unique cluster number within a solution of clusters (that is, label)
    • total_members – Number of records in cluster (that is, size)
    • cluster_quality – Cluster quality percentile value
    var solutionName = "solution_example";
    var solutionResult = new MLSolutionResult();
    var outcome_array = solutionResult.getClusterInfo(solutionName);
    for (var i = 0; i < outcome_array.length; i++) {
    gs.print(outcome_array[i].segmentation + ' ' + outcome_array[i].cluster_num + ' ' + outcome_array[i].total_members + ' ' + outcome_array[i].cluster_quality);
    }