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; }