private void AppendAggregateValues(StringBuilder builder, Aggregates aggregate)
{
foreach (var value in aggregate.PropertyValuesList)
{
builder.Append(value + "" + TABCHAR);
}
}
public void AddFilesToWrite(List<Song> filesToWrite)
{
_writeList.AddRange(filesToWrite);
if (_firstWrite)
{
_exampleSong = _writeList.First();
_exampleSegmentStat = _exampleSong.SegmentStats;
_exampleAggregate = _exampleSegmentStat.LoudnessMax;
}
}
public SegmentStats(double confidenceMean, Aggregates loudnessStart, Aggregates loudnessMaxTime,
Aggregates loudnessMax, Aggregates duration, Aggregates[] pitches, Aggregates[] timbre)
{
ConfidenceMean = confidenceMean;
LoudnessStart = loudnessStart;
LoudnessMaxTime = loudnessMaxTime;
LoudnessMax = loudnessMax;
Duration = duration;
Pitches = pitches;
Timbre = timbre;
}
private static Aggregates Aggregate(IEnumerable<double> doubles)
{
var enumerable = doubles as double[] ?? doubles.ToArray();
var stats = new DescriptiveStatistics(enumerable);
var min = stats.Minimum;
var max = stats.Maximum;
var mean = stats.Mean;
var median = enumerable.Median();
var variance = stats.Variance;
var skewness = stats.Skewness;
var kurtosis = stats.Kurtosis;
var valueRange = max - min;
var result = new Aggregates(min, max, mean, median, variance, valueRange, skewness, kurtosis);
return result;
}
private static Aggregates[] Aggregate(IEnumerable<double[]> doubles)
{
var segments = doubles.ToArray();
var num_cols = segments[0].Length;
var result = new Aggregates[num_cols];
for (int j = 0; j < num_cols; j++)
{
var col = new double[segments.Length];
for (int i = 0; i < segments.Length; i++)
{
col[i] = segments[i][j];
}
result[j] = Aggregate(col);
}
return result;
}
Aggregates[] ReadAggregates(string[] fields, ref int ptr, int num_aggrs)
{
var pitches = new Aggregates[num_aggrs];
for (int i = 0; i < num_aggrs; i++)
{
pitches[i] = ReadAggregate(fields, ref ptr);
}
return pitches;
}
