public void Regression_linear_check_model_jason_input_row_2()
{
Init_dataset_jason_linear_regression();
BuildLinearSimple lm = new BuildLinearSimple();
Dasmic.MLLib.Algorithms.Regression.ModelBase mb = (Dasmic.MLLib.Algorithms.Regression.ModelBase)lm.BuildModel(_trainingData,
_attributeHeaders, _indexTargetAttribute);
double[] data = GetSingleTrainingRowDataForTest(2);
double value = mb.RunModelForSingleData(
data);
Assert.IsTrue(SupportFunctions.DoubleCompare(value, 3.59));
}
public void Regression_linear_check_rmse_jason_input()
{
Init_dataset_jason_linear_regression();
BuildLinearSimple lm = new BuildLinearSimple();
Dasmic.MLLib.Algorithms.Regression.ModelBase mb =
(Dasmic.MLLib.Algorithms.Regression.ModelBase)lm.BuildModel(_trainingData,
_attributeHeaders, _indexTargetAttribute);
double value = mb.GetModelRMSE(_trainingData);
Assert.IsTrue(value > .68 && value < .70);
}
public void Regression_linear_check_model_jason_input()
{
Init_dataset_jason_linear_regression();
BuildLinearSimple lm = new BuildLinearSimple();
Dasmic.MLLib.Algorithms.Regression.ModelBase mb = (Dasmic.MLLib.Algorithms.Regression.ModelBase)lm.BuildModel(_trainingData,
_attributeHeaders, _indexTargetAttribute);
double[] validateData = { 1 };
double value = mb.RunModelForSingleData(
validateData);
Assert.IsTrue(value > 1.1 && value < 1.3);
}
