/// <summary> Creates a cost matrix that is a copy of another.
///
/// </summary>
/// <param name="toCopy">the matrix to copy.
/// </param>
public CostMatrix(CostMatrix toCopy):base(toCopy.size(), toCopy.size())
{
for (int x = 0; x < toCopy.size(); x++)
for (int y = 0; y < toCopy.size(); y++)
setXmlElement(x, y, toCopy.getXmlElement(x, y));
}
/// <summary> Initializes all the counters for the evaluation and also takes a
/// cost matrix as parameter.
/// Use <code>useNoPriors()</code> if the dataset is the test set and you
/// can't initialize with the priors from the training set via
/// <code>setPriors(Instances)</code>.
///
/// </summary>
/// <param name="data"> set of training instances, to get some header
/// information and prior class distribution information
/// </param>
/// <param name="costMatrix"> the cost matrix---if null, default costs will be used
/// </param>
/// <throws> Exception if cost matrix is not compatible with </throws>
/// <summary> data, the class is not defined or the class is numeric
/// </summary>
/// <seealso cref="useNoPriors()">
/// </seealso>
/// <seealso cref="setPriors(Instances)">
/// </seealso>
public Evaluation(Instances data, CostMatrix costMatrix)
{
m_NumClasses = data.numClasses();
m_NumFolds = 1;
m_ClassIsNominal = data.classAttribute().Nominal;
if (m_ClassIsNominal)
{
double[][] tmpArray = new double[m_NumClasses][];
for (int i = 0; i < m_NumClasses; i++)
{
tmpArray[i] = new double[m_NumClasses];
}
m_ConfusionMatrix = tmpArray;
m_ClassNames = new System.String[m_NumClasses];
for (int i = 0; i < m_NumClasses; i++)
{
m_ClassNames[i] = data.classAttribute().value_Renamed(i);
}
}
m_CostMatrix = costMatrix;
if (m_CostMatrix != null)
{
if (!m_ClassIsNominal)
{
throw new System.Exception("Class has to be nominal if cost matrix " + "given!");
}
if (m_CostMatrix.size() != m_NumClasses)
{
throw new System.Exception("Cost matrix not compatible with data!");
}
}
m_ClassPriors = new double[m_NumClasses];
Priors = data;
m_MarginCounts = new double[k_MarginResolution + 1];
}
