ID3Learner LoadDecisionTree(List <Record> trainingSet, ReferenceTable table, int depth)
{
int[][] inputs;
int[] outputs;
var codebook = BuildCodebook(trainingSet, table, out inputs, out outputs);
var attributes = new DecisionVariable[table.Columns.Length - 1];
for (int i = 0; i < attributes.Length; i++)
{
attributes[i] = new DecisionVariable(table.Columns[i], table.GetValues(i).Length);
}
int classCount = 2;
DecisionTree tree = new DecisionTree(attributes, classCount);
ID3LearningEx id3Learning = new ID3LearningEx(tree)
{
MaxHeight = depth
};
id3Learning.Run(inputs, outputs);
return(new ID3Learner(this, tree, codebook, table.Columns.Last()));
}
public List <Record> DiscretizeDataset(List <Record> dataset, ReferenceTable table)
{
int[] row = { 0 };
Discretize(table.HasUnknowns(row[0]), rec => double.Parse(rec[row[0]]), (rec, val) => rec[row[0]] = val, table.GetRanges(row[0]), table.GetValues(row[0]), dataset); row[0]++;
Discretize(table.HasUnknowns(row[0]), rec => double.Parse(rec[row[0]]), (rec, val) => rec[row[0]] = val, table.GetRanges(row[0]), table.GetValues(row[0]), dataset); row[0]++;
Discretize(table.HasUnknowns(row[0]), rec => double.Parse(rec[row[0]]), (rec, val) => rec[row[0]] = val, table.GetRanges(row[0]), table.GetValues(row[0]), dataset); row[0]++;
Discretize(table.HasUnknowns(row[0]), rec => double.Parse(rec[row[0]]), (rec, val) => rec[row[0]] = val, table.GetRanges(row[0]), table.GetValues(row[0]), dataset); row[0]++;
Discretize(table.HasUnknowns(row[0]), rec => double.Parse(rec[row[0]]), (rec, val) => rec[row[0]] = val, table.GetRanges(row[0]), table.GetValues(row[0]), dataset); row[0]++;
Discretize(table.HasUnknowns(row[0]), rec => double.Parse(rec[row[0]]), (rec, val) => rec[row[0]] = val, table.GetRanges(row[0]), table.GetValues(row[0]), dataset); row[0]++;
Discretize(table.HasUnknowns(row[0]), rec => double.Parse(rec[row[0]]), (rec, val) => rec[row[0]] = val, table.GetRanges(row[0]), table.GetValues(row[0]), dataset); row[0]++;
Discretize(table.HasUnknowns(row[0]), rec => double.Parse(rec[row[0]]), (rec, val) => rec[row[0]] = val, table.GetRanges(row[0]), table.GetValues(row[0]), dataset); row[0]++;
return(dataset);
}
