public static HammingDistanceResultStatistics From(ConcurrentBag <int> truePositivesBag, ConcurrentBag <int> falseNegativesBag, ConcurrentBag <int> falsePositivesBag, double[] percentiles)
{
var truePositives = truePositivesBag.ToList();
truePositives.Sort();
var falseNegatives = falseNegativesBag.ToList();
falseNegatives.Sort();
var falsePositives = falsePositivesBag.ToList();
falsePositives.Sort();
var instance = new HammingDistanceResultStatistics()
{
TruePositivesAvg = truePositives.DefaultIfEmpty(0).Average(),
TruePositiveMin = truePositives.DefaultIfEmpty(0).Min(),
TruePositiveMax = truePositives.DefaultIfEmpty(0).Max(),
FalseNegativesAvg = falseNegatives.DefaultIfEmpty(0).Average(),
FalseNegativesMin = falseNegatives.DefaultIfEmpty(0).Min(),
FalseNegativesMax = falseNegatives.DefaultIfEmpty(0).Max(),
FalsePositiveAvg = falsePositives.DefaultIfEmpty(0).Average(),
FalsePositiveMin = falsePositives.DefaultIfEmpty(0).Min(),
FalsePositiveMax = falsePositives.DefaultIfEmpty(0).Max(),
TruePositivePercentile = Percentiles(truePositives, percentiles),
FalseNegativePercentile = Percentiles(falseNegatives, percentiles),
FalsePositivePercentile = Percentiles(falsePositives, percentiles)
};
return(instance);
}
private TestRunnerEventArgs GetTestRunnerEventArgsForFinishedTestIteration(IStride queryStride, int seconds, List<int> startAts, FScore fscore, HammingDistanceResultStatistics statistics, int iteration, Stopwatch stopwatch, int verified)
{
return new TestRunnerEventArgs
{
FScore = fscore,
RowWithDetails =
new object[]
{
this.GetInsertMetadata(), queryStride.ToString(), seconds, startAts[iteration],
fscore.Precision, fscore.Recall, fscore.F1,
statistics.TruePositiveInfo,
statistics.TruePositivePercentileInfo,
statistics.FalseNegativesInfo,
statistics.FalseNegativesPercentileInfo,
statistics.FalsePositivesInfo,
statistics.FalsePositivesPercentileInfo,
(double)stopwatch.ElapsedMilliseconds / 1000
},
Verified = verified
};
}
public static HammingDistanceResultStatistics From(ConcurrentBag<int> truePositivesBag, ConcurrentBag<int> falseNegativesBag, ConcurrentBag<int> falsePositivesBag, double[] percentiles)
{
var truePositives = truePositivesBag.ToList();
truePositives.Sort();
var falseNegatives = falseNegativesBag.ToList();
falseNegatives.Sort();
var falsePositives = falsePositivesBag.ToList();
falsePositives.Sort();
var instance = new HammingDistanceResultStatistics()
{
TruePositivesAvg = truePositives.DefaultIfEmpty(0).Average(),
TruePositiveMin = truePositives.DefaultIfEmpty(0).Min(),
TruePositiveMax = truePositives.DefaultIfEmpty(0).Max(),
FalseNegativesAvg = falseNegatives.DefaultIfEmpty(0).Average(),
FalseNegativesMin = falseNegatives.DefaultIfEmpty(0).Min(),
FalseNegativesMax = falseNegatives.DefaultIfEmpty(0).Max(),
FalsePositiveAvg = falsePositives.DefaultIfEmpty(0).Average(),
FalsePositiveMin = falsePositives.DefaultIfEmpty(0).Min(),
FalsePositiveMax = falsePositives.DefaultIfEmpty(0).Max(),
TruePositivePercentile = Percentiles(truePositives, percentiles),
FalseNegativePercentile = Percentiles(falseNegatives, percentiles),
FalsePositivePercentile = Percentiles(falsePositives, percentiles)
};
return instance;
}