public void LVQ_jason_single_training_sample_positive()
{
initData_dataset_gaussian_kNN_jason_example();
BuildLVQ lvq = new BuildLVQ();
ModelLVQ model =
(ModelLVQ)lvq.BuildModel(_trainingData, _attributeHeaders, _indexTargetAttribute);
double [] data = GetSingleTrainingRowDataForTest(0);
double value = model.RunModelForSingleData(data);
Assert.AreEqual(value, _trainingData[_indexTargetAttribute][0]);
}
public void LVQ_jason_all_training_sample()
{
initData_dataset_gaussian_kNN_jason_example();
BuildLVQ lvq = new BuildLVQ();
ModelLVQ model = (ModelLVQ)lvq.BuildModel(_trainingData, _attributeHeaders, _indexTargetAttribute);
int count = 0;
for (int row = 0; row < _trainingData[0].Length; row++)
{
double[] data = GetSingleTrainingRowDataForTest(row);
double value = model.RunModelForSingleData(data);
if (value == _trainingData[_indexTargetAttribute][row])
{
count++;
}
}
Assert.AreEqual(count, 10);
}
