public virtual void GenerateNewBag()
{
int[] trainDocs = new int[CompleteTrainingSet.NumDocs];
int[] outOfBagDocs = new int[CompleteTrainingSet.NumDocs];
int trainSize = 0;
int outOfBagSize = 0;
for (int i = 0; i < CompleteTrainingSet.NumQueries; i++)
{
int begin = CompleteTrainingSet.Boundaries[i];
int numDocuments = CompleteTrainingSet.Boundaries[i + 1] - begin;
for (int d = 0; d < numDocuments; d++)
{
if (RndGenerator.NextDouble() < TrainFraction)
{
trainDocs[trainSize] = begin + d;
trainSize++;
}
else
{
outOfBagDocs[outOfBagSize] = begin + d;
outOfBagSize++;
}
}
}
CurrentTrainPartition = new DocumentPartitioning(trainDocs, trainSize, MaxLeaves);
CurrentOutOfBagPartition = new DocumentPartitioning(outOfBagDocs, outOfBagSize, MaxLeaves);
CurrentTrainPartition.Initialize();
CurrentOutOfBagPartition.Initialize();
}
public override void GenerateNewBag()
{
int[] trainDocs = new int[CompleteTrainingSet.NumDocs];
int[] outOfBagDocs = new int[CompleteTrainingSet.NumDocs];
int trainSize = 0;
int outOfBagSize = 0;
int[] tmpTrainQueryIndices = new int[CompleteTrainingSet.NumQueries];
bool[] selectedTrainQueries = new bool[CompleteTrainingSet.NumQueries];
int qIdx = 0;
for (int i = 0; i < CompleteTrainingSet.NumQueries; i++)
{
int begin = CompleteTrainingSet.Boundaries[i];
int numDocuments = CompleteTrainingSet.Boundaries[i + 1] - begin;
if (RndGenerator.NextDouble() < TrainFraction)
{
for (int d = 0; d < numDocuments; d++)
{
trainDocs[trainSize] = begin + d;
trainSize++;
}
tmpTrainQueryIndices[qIdx] = i;
qIdx++;
selectedTrainQueries[i] = true;
}
}
int outOfBagQueriesCount = CompleteTrainingSet.NumQueries - qIdx;
var currentTrainQueryIndices = new int[CompleteTrainingSet.NumQueries - outOfBagQueriesCount];
Array.Copy(tmpTrainQueryIndices, currentTrainQueryIndices, currentTrainQueryIndices.Length);
var currentOutOfBagQueryIndices = new int[outOfBagQueriesCount];
int outOfBagQIdx = 0;
for (int q = 0; q < CompleteTrainingSet.NumQueries; q++)
{
if (!selectedTrainQueries[q])
{
int begin = CompleteTrainingSet.Boundaries[q];
int numDocuments = CompleteTrainingSet.Boundaries[q + 1] - begin;
for (int d = 0; d < numDocuments; d++)
{
outOfBagDocs[outOfBagSize] = begin + d;
outOfBagSize++;
}
currentOutOfBagQueryIndices[outOfBagQIdx] = q;
outOfBagQIdx++;
}
}
CurrentTrainPartition = new DocumentPartitioning(trainDocs, trainSize, MaxLeaves);
CurrentOutOfBagPartition = new DocumentPartitioning(outOfBagDocs, outOfBagSize, MaxLeaves);
CurrentTrainPartition.Initialize();
CurrentOutOfBagPartition.Initialize();
}