/** * Make a simple set of instances, which can later be modified for use in * specific tests. * * @param seed the random number seed * @param numInstances the number of instances to generate * @param numAttr the number of attributes * @param attrTypes the attribute types * @param numClasses the number of classes (if nominal class) * @param classType the class type (NUMERIC, NOMINAL, etc.) * @return the test dataset * @throws Exception if the dataset couldn't be generated * @see #process(Instances) */ protected Instances makeTestDataset(int seed, int numInstances, int numAttr, AttrTypes attrTypes, int numClasses, int classType) throws Exception { return makeTestDataset(seed, numInstances, numAttr, attrTypes, numClasses, classType, TestInstances.CLASS_IS_LAST); }
/** * Make a simple set of instances, which can later be modified for use in * specific tests. * * @param seed the random number seed * @param numInstances the number of instances to generate * @param numAttr the number of attributes * @param attrTypes the attribute types * @param numClasses the number of classes (if nominal class) * @param classType the class type (NUMERIC, NOMINAL, etc.) * @return the test dataset * @throws Exception if the dataset couldn't be generated * @see #process(Instances) */ protected Instances makeTestDataset(int seed, int numInstances, int numAttr, AttrTypes attrTypes, int numClasses, int classType) throws Exception { return makeTestDataset(seed, numInstances, numAttr, attrTypes, numClasses, classType, TestInstances.CLASS_IS_LAST); }
train = makeTestDataset(42, numTrain, numAtts, at, numClasses, classType, classIndex);
train = makeTestDataset(42, numTrain, numAtts, at, numClasses, classType, classIndex);
train = makeTestDataset(42, numTrain, numAtts, attrTypes, numClasses, classType, classIndex);
train = makeTestDataset(42, numTrain, numAtts, attrTypes, numClasses, classType, classIndex);
train1 = makeTestDataset(42, numTrain, 2, attrTypes, numClasses, classType); train2 = makeTestDataset(84, numTrain, 3, attrTypes, numClasses, classType); if (missingLevel > 0) {
train1 = makeTestDataset(42, numTrain, 2, attrTypes, numClasses, classType); train2 = makeTestDataset(84, numTrain, 3, attrTypes, numClasses, classType); if (missingLevel > 0) {
boolean built = false; try { train = makeTestDataset(42, numTrain, 1, attrTypes, numClasses, classType); int attrIndex = 0;
boolean built = false; try { train = makeTestDataset(42, numTrain, 1, attrTypes, numClasses, classType); int attrIndex = 0;
Vector<Double> test; try { train = makeTestDataset(42, numTrain, 1, attrTypes, numClasses, classType);
Vector<Double> test; try { train = makeTestDataset(42, numTrain, 1, attrTypes, numClasses, classType);
int attrIndex = 0; try { train = makeTestDataset(42, numTrain, 1, attrTypes, numClasses, classType);
int attrIndex = 0; try { train = makeTestDataset(42, numTrain, 1, attrTypes, numClasses, classType);