public void NN_perceptron_single_sgd_all_training_samples()
{
initData_NN_dataset_linear_subgd_jason_example();
BuildSingleUnitPerceptronSGD build = new BuildSingleUnitPerceptronSGD();
setPrivateVariablesInBuildObject(build);
//Set params
//build.setParameters(1,1,.45);
ModelSingleUnitPerceptron model =
(ModelSingleUnitPerceptron)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);
if (SupportFunctions.DoubleCompare(value, _trainingData[_indexTargetAttribute][row]))
{
count++;
}
}
Assert.AreEqual(count,
10);
}
public void NN_perceptron_single_sgd_single_training_sample_class_1()
{
initData_NN_dataset_linear_subgd_jason_example();
BuildSingleUnitPerceptronSGD build = new BuildSingleUnitPerceptronSGD();
setPrivateVariablesInBuildObject(build);
//Set params
//build.setParameters(1,1,.45);
ModelSingleUnitPerceptron model =
(ModelSingleUnitPerceptron)build.BuildModel(
_trainingData, _attributeHeaders,
_indexTargetAttribute);
int row = 6;
double[] data = GetSingleTrainingRowDataForTest(row);
double value = model.RunModelForSingleData(data);
Assert.AreEqual(value,
_trainingData[_indexTargetAttribute][row]);
}