This example shows how to use the model metrics API to collect model metric data for your model, and then explore the results by using the Metrics Dashboard.
To collect all of the available metrics for the model
sldemo_fuelsys, use the
slmetric.Engine API. The metrics engine stores the results in the metric repository file in the current Simulation Cache Folder,
metric_engine = slmetric.Engine(); setAnalysisRoot(metric_engine,'Root','sldemo_fuelsys','RootType','Model'); evalc('execute(metric_engine)');
To determine the percentage of MAAB checks that pass, use the metric compliance results.
metricID = 'mathworks.metrics.ModelAdvisorCheckCompliance.maab'; metricResult = getAnalysisRootMetric(metric_engine, metricID); disp(['MAAB compliance: ', num2str(100 * metricResult.AggregatedValue, 3),'%']);
MAAB compliance: 69.3%
To explore the collected compliance metrics in more detail, open the Metrics Dashboard for the model.
The Metrics Dashboard opens data for the model from the active metric repository, inside the active Simulation Cache Folder. To view the previously collected data, the
slprj folder must be the same.
Find the MODELING GUIDELINE COMPLIANCE section of the dashboard. For each category of compliance checks, the gauge indicates the percentage of compliance checks that passed.
The dashboard reports the same MAAB compliance percentage as the
slmetric.Engine API reports.
Underneath the percentage gauges, the bar chart indicates the number of compliance check issues. Click anywhere in the MAAB bar chart for Model Advisor Check Issues.
The table details the number of check issues per model component. To sort the components by number of check issues, click the Issues column.