double RunModelForSingleData(double[] data)
{
try
{
double value = double.PositiveInfinity;
if (_root == null)
{
return(value); //Model not computed
}
DecisionTreeNode dtn = _root;
//Deal with missing values
while (dtn.AttributeIndex != _origTargetAttributeIndex)
{
//Children are stored with Index
dtn = dtn.getChildWithValue(
data[dtn.AttributeIndex]);
if (dtn == null) //Is null likely due to missing value, ignore it in this case
{
return(Constants.MISSING_VALUE);
}
}
value = dtn.Value;
return(value);
}
catch (Exception ex)
{
throw new ModelRunException(ex.Message, ex);
}
}
long getNumberOfCorrectPredictions(double[][] data)
{
long correctCount = 0;
if (_root != null) //Model not computed
{
try
{
for (int rowIdx = 0; rowIdx < data[0].Length; rowIdx++)
{
DecisionTreeNode dtn = _root;
//Deal with missing values
while (dtn.AttributeIndex != _origTargetAttributeIndex) //dtn.AttributeIndex < 0 denoted invalid node
{
if (data[dtn.AttributeIndex][rowIdx] < dtn.Value)
{
//Children are stored with Index
dtn = dtn.getChildWithValue(0);
}
else
{
dtn = dtn.getChildWithValue(1);
}
if (dtn == null) //Is null likely due to missing value, ignore it in this case
{
break;
}
}
if (dtn.Value == data[_origTargetAttributeIndex][rowIdx])
{
correctCount++;
}
}
}
catch (Exception ex)
{
throw new ModelRunException(ex.Message, ex);
}
}
return(correctCount);
}