private double GetConditionalProbability(List <double[]> vectors, int childId, int parentId, int childValue, int parentValue)
{
double probabilityChildAndParentEqual = (double)VecotorUtility.CountNumberOfTimesColumnsEquals(vectors, childId, parentId, childValue, parentValue) / vectors.Count;
double probabilityParentEqualsValue = (double)VecotorUtility.CountNumberOfTimesColumnEquals(vectors, parentId, parentValue) / vectors.Count;
return(probabilityChildAndParentEqual / probabilityParentEqualsValue);
}
public override void Train(List <double[]> vectors)
{
foreach (var column in VecotorUtility.GetColumns(vectors))
{
int numberOfZeros = column.Where(num => num == 0).Count();
double probability = (double)numberOfZeros / column.Count;
this.featuresProbabilityIfZero.Add(probability);
}
}
public ClassifierViewModel(String filePath)
{
this.vectors = FileUtility.ConvertCSVToList(filePath);
var fileName = Path.GetFileName(filePath);
if (fileName != "ArtificialData.csv")
{
VecotorUtility.ConvertListToBinary(vectors);
}
this.Classes = new List <Class>(CreateClasses(vectors));
}
private WeightedEdge <Node> GetWeightedEdge(Node source, Node target, List <double[]> vectors)
{
double weight = 0;
double rows = vectors.Count;
for (int i = 0; i < 2; i++)
{
for (int j = 0; j < 2; j++)
{
var targetId = target.Id;
var sourceId = source.Id;
double probIJ = VecotorUtility.CountNumberOfTimesColumnsEquals(vectors, sourceId, targetId, i, j) / rows;
double probI = VecotorUtility.CountNumberOfTimesColumnEquals(vectors, sourceId, i) / rows;
double probJ = VecotorUtility.CountNumberOfTimesColumnEquals(vectors, targetId, j) / rows;
weight += probIJ * Math.Log(probIJ / (probI * probJ), 2);
}
}
return(new WeightedEdge <Node>(source, target, weight));
}
public override void Train(List <double[]> vectors)
{
var nodes = new Queue <Node>();
var root = this.GetRootNode();
root.probabilityGivenParentZero = (double)VecotorUtility.CountNumberOfTimesColumnEquals(vectors, root.Id, 0) / vectors.Count;
root.probabilityGivenParentOne = root.probabilityGivenParentZero;
nodes.Enqueue(root);
while (nodes.Count > 0)
{
var parentNode = nodes.Dequeue();
foreach (var childNode in visualGraph.GetOutNeighbours(parentNode))
{
childNode.probabilityGivenParentZero = GetConditionalProbability(vectors, childNode.Id, parentNode.Id, 0, 0);
childNode.probabilityGivenParentOne = GetConditionalProbability(vectors, childNode.Id, parentNode.Id, 0, 1);
nodes.Enqueue(childNode);
}
}
}
