public void kNN_jason_given_validation_sample()
{
initData_dataset_gaussian_kNN_jason_example();
BuildkNN kNN = new BuildkNN();
ModelkNN model = (ModelkNN)kNN.BuildModel(_trainingData, _attributeHeaders, _indexTargetAttribute);
//model.setParameters(null, 5); //with k of 3 doesnt work
double[] data = { 8.093607318, 3.365731514 };
double value = model.RunModelForSingleData(data);
Assert.AreEqual(value, 1);
}
public void kNN_jason_single_training_sample()
{
initData_dataset_gaussian_kNN_jason_example();
BuildkNN kNN = new BuildkNN();
ModelkNN model =
(ModelkNN)kNN.BuildModel(_trainingData, _attributeHeaders, _indexTargetAttribute);
double [] data = GetSingleTrainingRowDataForTest(0);
double value = model.RunModelForSingleData(data);
Assert.AreEqual(value, _trainingData[_indexTargetAttribute][0]);
}
public void kNN_jason_all_training_sample()
{
initData_dataset_gaussian_kNN_jason_example();
BuildkNN kNN = new BuildkNN();
ModelkNN model = (ModelkNN)kNN.BuildModel(_trainingData, _attributeHeaders, _indexTargetAttribute);
for (int row = 0; row < _trainingData[0].Length; row++)
{
model.setParameters(null, 5); //with k of 3 doesnt work
double[] data = GetSingleTrainingRowDataForTest(row);
double value = model.RunModelForSingleData(data);
Assert.AreEqual(value, _trainingData[_indexTargetAttribute][row]);
}
}