/// <summary>
/// Requirements:
/// (1) all the data points are indexed from 0 ... cDataCountsTotal
/// (2) all data points belongs to one group are contingious
/// </summary>
/// <param name="groupId">maps a data point to its group ID</param>
public DataGroups(LabelFeatureCore labelFeatureCore)
{
NumDataPoints = labelFeatureCore.NumDataPoint;
List<int> listGroupId = new List<int>();
List<int> listStartIdx = new List<int>();
listGroupId.Add(labelFeatureCore.GetGroupId(0));
listStartIdx.Add(0);
int curID = labelFeatureCore.GetGroupId(0);
for (int i = 0; i < NumDataPoints; i++)
{
int nextID = labelFeatureCore.GetGroupId(i);
if (nextID != curID)
{
listStartIdx.Add(i);
listGroupId.Add(nextID);
curID = nextID;
}
}
groupCounts = listStartIdx.Count;
dataGroups = new DataGroup[groupCounts];
for (int i = 0; i < groupCounts; i++)
{
dataGroups[i] = new DataGroup();
dataGroups[i].id = listGroupId[i];
dataGroups[i].iStart = listStartIdx[i];
if (i < groupCounts - 1)
{
dataGroups[i].cSize = listStartIdx[i + 1] - listStartIdx[i];
}
else
{
dataGroups[i].cSize = NumDataPoints - listStartIdx[i];
}
}
}
public NDCGPairwise(LabelFeatureCore labelFeatureCore, LabelConverter labelConvert, DataPartitionType[] dataTypes,
int ndcgAt, bool dropEmptyQueries, float scoreForEmptyQuery)
: base(labelFeatureCore, labelConvert, dataTypes)
{
this.ndcg = new NDCG(dropEmptyQueries, scoreForEmptyQuery, ndcgAt);
}
public Metrics(LabelFeatureCore labelFeatureCore, LabelConverter labelConvert, DataPartitionType[] dataTypes)
{
this.labelFeatureCore = labelFeatureCore;
this.dataTypes = dataTypes;
this.optimalID = -1;
this.labels = new float[labelFeatureCore.NumDataPoint];
if (labelConvert != null)
{
for (int i = 0; i < labelFeatureCore.NumDataPoint; i++)
{
this.labels[i] = labelConvert.convert(labelFeatureCore.GetLabel(i));
}
}
else
{
for (int i = 0; i < labelFeatureCore.NumDataPoint; i++)
{
this.labels[i] = labelFeatureCore.GetLabel(i);
}
}
this.dataSegments = new int[(int)DataPartitionType.cTypes][];
this.metricsCur = new float[(int)DataPartitionType.cTypes][];
for (int i = 0; i < (int)DataPartitionType.cTypes; i++)
{
metricsCur[i] = new float[SIZE];
}
foreach (DataPartitionType dataType in dataTypes)
{
DataSet dataSet = labelFeatureCore.DataGroups.GetDataPartition(dataType);
int[] dataSegment = dataSet.DataIndex;
if (dataSegment != null)
{
dataSegments[(int)dataType] = dataSegment;
}
else
{
//we will fill in the non-existing data sections with 0
//throw new Exception("data partition does not exist");
}
}
this.results_list = new List<Result>();
}
public Metrics(LabelFeatureCore labelFeatureCore, DataPartitionType[] dataTypes)
: this(labelFeatureCore, null, dataTypes)
{
}
//dataType==null <=> all the data are used in one partition
public L_N(LabelFeatureCore labelFeatureCore, DataPartitionType[] dataTypes)
: base(labelFeatureCore, dataTypes)
{
}
//dataType==null <=> all the data are used in one partition
public ClassError(LabelFeatureCore labelFeatureCore, LabelConverter labelConvert, DataPartitionType[] dataTypes)
: base(labelFeatureCore, labelConvert, dataTypes)
{
}
