/// <summary>
/// Initializes a new instance of the <see cref="Learn" /> class.
/// </summary>
/// <param name="tree">The tree.</param>
public Learn(Tree tree)
{
this.tree = tree;
this.attributes = new bool[tree.InputCount];
this.inputRanges = new IntRange[tree.InputCount];
this.outputClasses = tree.OutputClasses;
for (int i = 0; i < inputRanges.Length; i++)
inputRanges[i] = tree.Attributes[i].Range.ToIntRange(false);
}
/// <summary>
/// Learns the tree.
/// </summary>
public void LearnTree()
{
tree = new Tree(attributes, classCount);
Learn Learn = new Learn(tree);
int[][] inputs = dataTable.ToIntArray("buying", "maint", "doors", "persons", "lug_boot", "safety"); // podajemy dla jakich atrybutów będziemy uczyć nasze drzewo
int[] outputs = dataTable.ToIntArray("decision").GetColumn(0); // Wartość decyzji
double[][] dinputs = new double[inputs.Length][];
for (int i = 0; i < inputs.Length; i++)
{
dinputs[i] = new double[inputs[i].Length];
for (int j = 0; j < inputs[i].Length; j++)
{
dinputs[i][j] = (double)inputs[i][j];
}
}
Learn.Run(dinputs, outputs);
}
