/// <summary>
/// Recalculate the scores of each peak by applying the given feature weighting factors.
/// </summary>
/// <param name="weights">Array of weight factors applied to each feature.</param>
/// <returns>Mean peak score.</returns>
public void ScorePeaks(IList <double> weights)
{
foreach (var peak in _scoredGroupPeaksList.SelectMany(scoredGroupPeaks => scoredGroupPeaks.ScoredPeaks))
{
peak.Score = LinearModelParams.Score(peak.Features, weights, 0);
}
// Calculate mean and stdev for top-scoring peaks in each transition group.
var scores = GetMaxScores();
var stats = new Statistics(scores);
Mean = stats.Mean();
Stdev = stats.StdDev();
}
public ScoredPeak CalcScore(IList <double> weights)
{
return(new ScoredPeak(Features, LinearModelParams.Score(Features, weights, 0)));
}
public static double Score(IList <float> features, LinearModelParams parameters)
{
return(parameters.Score(features));
}
/// <summary>
/// Calculate the score of a set of features given an array of weighting coefficients.
/// </summary>
private static double GetScore(IList <double> weights, PeakGroupFeatures peakGroupFeatures, double bias)
{
return(LinearModelParams.Score(peakGroupFeatures.Features, weights, bias));
}