/// <summary>
/// Creates the report from metrics given, using averaging computation specified
/// </summary>
/// <param name="_metrics">The metrics to build report entry from</param>
/// <param name="averageComputation">The average computation method to apply for F1, P and R</param>
public classificationReport(classificationEvalMetricSet _metrics, classificationMetricComputation averageComputation)
{
Name = _metrics.name;
GetSetMetrics(_metrics);
this.AddValues(_metrics, averageComputation);
method = averageComputation;
}
/// <summary>
/// Sets (if specified <c>_metrics</c> is not null) and Gets (earlier or just set) metrics object. Makes no change to report content, just stores the metrics temporarrly
/// </summary>
/// <param name="_metrics">The metrics.</param>
/// <returns></returns>
public classificationEvalMetricSet GetSetMetrics(classificationEvalMetricSet _metrics = null)
{
if (_metrics != null)
{
metrics = _metrics;
}
return(metrics);
}
/// <summary>
/// Sets or Adds the values from specified <c>metrics</c> object.
/// </summary>
/// <param name="a">a.</param>
/// <param name="metrics">The metrics.</param>
/// <param name="method">The method of ratios computation (F1, Precision, Recall)</param>
public static void AddValues(this IClassificationReport a, classificationEvalMetricSet metrics, classificationMetricComputation method)
{
a.Precision += metrics.GetPrecision(method);
a.Recall += metrics.GetRecall(method);
a.F1measure += metrics.GetF1(method);
foreach (var p in metrics)
{
a.Correct += p.Value.correct;
a.Wrong += p.Value.wrong;
a.Targets += p.Value.correct + p.Value.wrong;
}
a.method = method;
}