public void AdaBoost_all_training_samples()
{
initData_Jason_AdaBoost();
BuildAdaBoost build =
new BuildAdaBoost();
ModelAdaBoost model =
(ModelAdaBoost)build.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);
value = value > 0 ? 1 : 0;
if (value ==
_trainingData[_indexTargetAttribute][row])
{
count++;
}
}
Assert.AreEqual(count, 9);
}
public void AdaBoost_single_training_sample_value_0()
{
initData_Jason_AdaBoost();
BuildAdaBoost build =
new BuildAdaBoost();
ModelAdaBoost model =
(ModelAdaBoost)build.BuildModel(
_trainingData,
_attributeHeaders,
_indexTargetAttribute);
int row = 0;
double[] data = GetSingleTrainingRowDataForTest(row);
double value = model.RunModelForSingleData(data);
Assert.AreEqual(value, _trainingData[_indexTargetAttribute][row]);
}
