/**
* Populates test and training datasets.
*
* <p>Note: (1) assumes a 50:50 split, (2) training data set is stored in the dataArray structure
* in which the input data is stored, (3) method called from application class as same training
* and test sets may be required if using (say) "hill climbing" approach to maximise accuracy, (4)
* method is not called from constructor partly for same reason as 3 but also because the input
* data set may (given a particular application) first require ordering and possibly also pruning
* and recasting (see recastClassifiers method).
*
* @param test myDataset Class where examples are stored to build the classifier
* @param dataBase DataBase Class to store the examples to work with the algorithm and some other
* useful information
*/
public void testDataSet(myDataset test, DataBase dataBase) {
int i, j, k;
int[] example;
short value;
// Determine size of training and test sets.
setNumRowsInTrainingSet();
numRowsInTestSet = test.getnData();
// Dimension and populate test set
testDataArray = new short[numRowsInTestSet][];
for (i = 0; i < numRowsInTestSet; i++) {
example = test.getExample(i);
testDataArray[i] = new short[dataBase.numVariablesUsed() + 1];
value = 1;
for (j = 0, k = 0; j < example.length; j++) {
if (dataBase.numLabels(j) > 1) {
testDataArray[i][k] = (short) example[j];
testDataArray[i][k] += value;
value += dataBase.numLabels(j);
// System.out.print (testDataArray[i][k] + " ");
k++;
}
}
testDataArray[i][k] = (short) test.getOutputAsInteger(i);
testDataArray[i][k] += value;
// System.out.print (testDataArray[i][k] + " ");
// System.out.println ("");
}
}
/**
* Parameters Constructor
*
* @param dataBase Set of training data which is necessary to generate a rule
* @param train Training data set with information to construct the rule base (mainly, the
* training examples)
*/
public RuleBase(DataBase dataBase, myDataset train) {
this.ruleBase = new ArrayList<Rule>();
this.dataBase = dataBase;
this.train = train;
this.n_variables = dataBase.numVariables();
this.fitness = 0;
this.totalLabels = new int[this.n_variables];
for (int i = 0; i < this.n_variables; i++) this.totalLabels[i] = dataBase.numLabels(i);
}