public void BuildBase_unique_values()
{
initData_dataset_7_row_2_class_example();
BuildBaseObject bbo =
new BuildBaseObject();
PrivateObject obj = new PrivateObject(bbo);
HashSet <double> meanMatrix = (HashSet <double>)obj.Invoke(
"GetUniqueValues",
new object[] { _trainingData[_indexTargetAttribute] });
Assert.AreEqual(meanMatrix.Count, 2);
Assert.IsTrue(meanMatrix.Contains(1));
Assert.IsTrue(meanMatrix.Contains(2));
}
public void BuildBase_class_mean_2_row_data()
{
initData_classdata_4_rows_2_class();
BuildBaseObject bbo =
new BuildBaseObject();
setPrivateVariablesInBuildObject(bbo);
PrivateObject obj = new PrivateObject(bbo);
List <double[][]> allMeans = (List <double[][]>)obj.Invoke("GetClassMeanMatrix",
new object[] { _classInputMatrix });
Assert.IsTrue(allMeans[0][0][0] == 80);
Assert.IsTrue(allMeans[0][1][0] == 140);
Assert.IsTrue(allMeans[1][0][0] == 40);
Assert.IsTrue(allMeans[1][1][0] == 75);
}
public void BuildBase_class_sd_2_row_data()
{
initData_classdata_4_rows_2_class();
BuildBaseObject bbo =
new BuildBaseObject();
setPrivateVariablesInBuildObject(bbo);
PrivateObject obj = new PrivateObject(bbo);
List <double[][]> allMeans = (List <double[][]>)obj.Invoke("GetClassMeanMatrix",
new object[] { _classInputMatrix });
List <double[][]> allSD = (List <double[][]>)obj.Invoke("GetClassStandardDeviationMatrix",
new object[] { _classInputMatrix, allMeans });
Assert.IsTrue(SupportFunctions.DoubleCompare(allSD[0][0][0], System.Math.Sqrt(400)));
Assert.IsTrue(SupportFunctions.DoubleCompare(allSD[0][1][0], System.Math.Sqrt(3600)));
Assert.IsTrue(SupportFunctions.DoubleCompare(allSD[1][0][0], System.Math.Sqrt(100)));
Assert.IsTrue(SupportFunctions.DoubleCompare(allSD[1][1][0], System.Math.Sqrt(289)));
}
public void BuildBase_class_based_matrix_example()
{
initData_dataset_7_row_2_class_example();
BuildBaseObject bbo =
new BuildBaseObject();
setPrivateVariablesInBuildObject(bbo);
//Set values of private members
PrivateObject obj = new PrivateObject(bbo);
//Now call Functions
HashSet <double> uniqueValues =
(HashSet <double>)obj.Invoke(
"GetUniqueValues",
new object[] { _trainingData[_indexTargetAttribute] });
double[] classValues = new double[uniqueValues.Count];
List <double[][]> _classMatrix =
(List <double[][]>)obj.Invoke(
"GetClassBasedInputMatrix",
new object[] { uniqueValues,
classValues });
Assert.AreEqual(_classMatrix.Count, 2);
Assert.AreEqual(_classMatrix[0][0].Length, 4);
Assert.IsTrue(SupportFunctions.DoubleCompare(_classMatrix[0][0][0], _classMatrix1[0][0]));
Assert.IsTrue(SupportFunctions.DoubleCompare(_classMatrix[0][0][1], _classMatrix1[0][1]));
Assert.IsTrue(SupportFunctions.DoubleCompare(_classMatrix[0][0][2], _classMatrix1[0][2]));
Assert.IsTrue(SupportFunctions.DoubleCompare(_classMatrix[0][0][3], _classMatrix1[0][3]));
Assert.AreEqual(_classMatrix[1][0].Length, 3);
Assert.IsTrue(SupportFunctions.DoubleCompare(_classMatrix[1][0][0], _classMatrix2[0][0]));
Assert.IsTrue(SupportFunctions.DoubleCompare(_classMatrix[1][0][1], _classMatrix2[0][1]));
Assert.IsTrue(SupportFunctions.DoubleCompare(_classMatrix[1][0][2], _classMatrix2[0][2]));
}