/// <summary> Convert a single instance over. The converted instance is
/// added to the end of the output queue.
///
/// </summary>
/// <param name="instance">the instance to convert
/// </param>
private void convertInstance(Instance instance)
{
Instance inst = null;
if (instance is SparseInstance)
{
double[] vals = new double[instance.numValues()];
int[] indices = new int[instance.numValues()];
int num = 0;
for (int j = 0; j < instance.numValues(); j++)
{
if (instance.isMissingSparse(j) && (getInputFormat().classIndex() != instance.index(j)) && (instance.attributeSparse(j).Nominal || instance.attributeSparse(j).Numeric))
{
if (m_ModesAndMeans[instance.index(j)] != 0.0)
{
vals[num] = m_ModesAndMeans[instance.index(j)];
indices[num] = instance.index(j);
num++;
}
}
else
{
vals[num] = instance.valueSparse(j);
indices[num] = instance.index(j);
num++;
}
}
if (num == instance.numValues())
{
inst = new SparseInstance(instance.weight(), vals, indices, instance.numAttributes());
}
else
{
double[] tempVals = new double[num];
int[] tempInd = new int[num];
Array.Copy(vals, 0, tempVals, 0, num);
Array.Copy(indices, 0, tempInd, 0, num);
inst = new SparseInstance(instance.weight(), tempVals, tempInd, instance.numAttributes());
}
}
else
{
double[] vals = new double[getInputFormat().numAttributes()];
for (int j = 0; j < instance.numAttributes(); j++)
{
if (instance.isMissing(j) && (getInputFormat().classIndex() != j) && (getInputFormat().attribute(j).Nominal || getInputFormat().attribute(j).Numeric))
{
vals[j] = m_ModesAndMeans[j];
}
else
{
vals[j] = instance.value_Renamed(j);
}
}
inst = new Instance(instance.weight(), vals);
}
inst.Dataset = instance.dataset();
push(inst);
}
/// <summary> Constructor that copies the info from the given instance.
/// Reference to the dataset is set to null.
/// (ie. the instance doesn't have access to information about the
/// attribute types)
///
/// </summary>
/// <param name="instance">the instance from which the attribute
/// info is to be copied
/// </param>
public SparseInstance(SparseInstance instance)
{
m_AttValues = instance.m_AttValues;
m_Indices = instance.m_Indices;
m_Weight = instance.m_Weight;
m_NumAttributes = instance.m_NumAttributes;
m_Dataset = null;
}
/// <summary> Convert a single instance over if the class is nominal. The converted
/// instance is added to the end of the output queue.
///
/// </summary>
/// <param name="instance">the instance to convert
/// </param>
private void convertInstance(Instance instance)
{
double[] vals = new double[outputFormatPeek().numAttributes()];
int attSoFar = 0;
for (int j = 0; j < getInputFormat().numAttributes(); j++)
{
weka.core.Attribute att = getInputFormat().attribute(j);
if (!att.Nominal || (j == getInputFormat().classIndex()) || !m_Columns.isInRange(j))
{
vals[attSoFar] = instance.value_Renamed(j);
attSoFar++;
}
else
{
if (att.numValues() <= 2)
{
vals[attSoFar] = instance.value_Renamed(j);
attSoFar++;
}
else
{
if (instance.isMissing(j))
{
for (int k = 0; k < att.numValues(); k++)
{
vals[attSoFar + k] = instance.value_Renamed(j);
}
}
else
{
for (int k = 0; k < att.numValues(); k++)
{
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
if (k == (int) instance.value_Renamed(j))
{
vals[attSoFar + k] = 1;
}
else
{
vals[attSoFar + k] = 0;
}
}
}
attSoFar += att.numValues();
}
}
}
Instance inst = null;
if (instance is SparseInstance)
{
inst = new SparseInstance(instance.weight(), vals);
}
else
{
inst = new Instance(instance.weight(), vals);
}
copyStringValues(inst, false, instance.dataset(), InputStringIndex, getOutputFormat(), OutputStringIndex);
inst.Dataset = getOutputFormat();
push(inst);
}
/// <summary> Produces a shallow copy of this instance. The copy has
/// access to the same dataset. (if you want to make a copy
/// that doesn't have access to the dataset, use
/// <code>new SparseInstance(instance)</code>
///
/// </summary>
/// <returns> the shallow copy
/// </returns>
public override System.Object copy()
{
Instance result = new SparseInstance(this);
result.m_Dataset = m_Dataset;
return result;
}