/// <summary> Copies string values contained in the instance copied to a new
/// dataset. The Instance must already be assigned to a dataset. This
/// dataset and the destination dataset must have the same structure.
///
/// </summary>
/// <param name="instance">the Instance containing the string values to copy.
/// </param>
/// <param name="destDataset">the destination set of Instances
/// </param>
/// <param name="strAtts">an array containing the indices of any string attributes
/// in the dataset.
/// </param>
private void copyStringValues(Instance inst, Instances destDataset, int[] strAtts)
{
if (strAtts.Length == 0)
{
return ;
}
if (inst.dataset() == null)
{
throw new System.ArgumentException("Instance has no dataset assigned!!");
}
else if (inst.dataset().numAttributes() != destDataset.numAttributes())
{
throw new System.ArgumentException("Src and Dest differ in # of attributes!!");
}
copyStringValues(inst, true, inst.dataset(), strAtts, destDataset, strAtts);
}
/// <summary> Input an instance for filtering. Ordinarily the instance is processed
/// and made available for output immediately. Some filters require all
/// instances be read before producing output.
///
/// </summary>
/// <param name="instance">the input instance
/// </param>
/// <returns> true if the filtered instance may now be
/// collected with output().
/// </returns>
/// <exception cref="IllegalStateException">if no input structure has been defined.
/// </exception>
public override bool input(Instance instance)
{
if (getInputFormat() == null)
{
throw new System.SystemException("No input instance format defined");
}
if (m_NewBatch)
{
resetQueue();
m_NewBatch = false;
}
if (getOutputFormat().numAttributes() == 0)
{
return false;
}
double[] vals = new double[getOutputFormat().numAttributes()];
for (int i = 0; i < m_SelectedAttributes.Length; i++)
{
int current = m_SelectedAttributes[i];
vals[i] = instance.value_Renamed(current);
}
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(), m_InputStringIndex, getOutputFormat(), OutputStringIndex);
inst.Dataset = getOutputFormat();
push(inst);
return true;
}