// [TestMethod()]
public void MSCTest()
{
// int winSize = 5; // TODO: 初始化为适当的值
var target = new MSC(); // TODO: 初始化为适当的值
var matReader = new MatlabMatrixReader <double>(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\X.mat");
var input = matReader.ReadMatrix();
var actual = target.Process((Matrix)input, RIPP.Lib.MathLib.VectorType.Row);
var writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\filter\out_msc_my.mat");
writer.WriteMatrix <double>(actual, "dd");
writer.Close();
writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\filter\out_msc_my_m.mat");
writer.WriteMatrix <double>(target.Mean.ToRowMatrix(), "m");
writer.Close();
//测试按列来
var input2 = input.Transpose();
var target2 = new MSC();
actual = target2.Process((Matrix)input2, RIPP.Lib.MathLib.VectorType.Column);
writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\filter\out_msc_myColumn.mat");
writer.WriteMatrix <double>(actual, "dColumn");
writer.Close();
writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\filter\out_msc_my_mColumn.mat");
writer.WriteMatrix <double>(target.Mean.ToRowMatrix(), "mColumn");
writer.Close();
//
var target3 = new MSC();
actual = target3.ProcessForPrediction((Matrix)input, RIPP.Lib.MathLib.VectorType.Row, target.Mean);
writer = new MatlabMatrixWriter(@"F:\3506\15chemometrics\RIPP_DEMO\src\RIPP\testdata\filter\out_msc_my_ForPrediction.mat");
writer.WriteMatrix <double>(actual, "dd");
writer.Close();
// Assert.Inconclusive("验证此测试方法的正确性。");
}
