Name
sn_ml_ui.ClassificationBubbleChartHelper
Description
Query the class confidence(ml_class)table and get class name, precision, distribution and coverage for each class of the current solution.
Script
var ClassificationBubbleChartHelper = Class.create();
ClassificationBubbleChartHelper.prototype = {
initialize: function () {
this.ML_CLASS_CONFIDENCE_TABLE = 'ml_class';
this.CLASS_DISTRIBUTION = 'distribution';
this.CLASS_PRECISION = 'precision';
this.CLASS_RECALL = 'recall';
this.CLASS_COVERAGE = 'coverage';
this.CLASS_SOLUTION_SYSID = 'solution';
this.CLASS_NAME = 'name';
},
_isPreOrlando: function (solutionSysId) {
var solutionGR = new GlideRecord('ml_solution');
solutionGR.get(solutionSysId);
var capabilityVersion = parseFloat(solutionGR.getValue('capability_version'));
if(capabilityVersion < 5.0)
return true;
return false;
},
getData: function (solutionSysId) {
var mlSolutionInfo = {};
var recallExists = this._isPreOrlando(solutionSysId) ? 'false' : 'true';
mlSolutionInfo.recallExists = recallExists;
var mlClassCategories = [];
var gr = new GlideRecordSecure(this.ML_CLASS_CONFIDENCE_TABLE);
gr.addQuery(this.CLASS_SOLUTION_SYSID, solutionSysId);
gr.orderByDesc(this.CLASS_DISTRIBUTION);
gr.query();
while (gr.next()) {
var mlClassCategory = {};
mlClassCategory.precision = gr.pc_lookup.getRefRecord().getValue(this.CLASS_PRECISION);
mlClassCategory.coverage = gr.pc_lookup.getRefRecord().getValue(this.CLASS_COVERAGE);
mlClassCategory.recall = recallExists === 'false' ? '-1' : gr.pc_lookup.getRefRecord().getValue(this.CLASS_RECALL);
mlClassCategory.distribution = gr.getValue(this.CLASS_DISTRIBUTION);
mlClassCategory.class_name = gr.getValue(this.CLASS_NAME);
mlClassCategories.push(mlClassCategory);
}
mlSolutionInfo.mlClassCategories = mlClassCategories;
return mlSolutionInfo;
},
type: 'ClassificationBubbleChartHelper'
};
Sys ID
db16a377731033000ad4a4fa54f6a7d2