public void TestPutObject_ValidArgs()
{
string workspaceName = "Base";
MLAppClass app = MatlabTestInstance.Instance;
MatlabSession session = new MatlabSession(app);
Workspace space = new Workspace(session, workspaceName);
space.PutObject("Obj", new object());
string output = app.Execute("exist Obj");
Debug.Write(output);
}
public void TestGetVariable_Set()
{
string workspaceName = "base";
MLAppClass app = MatlabTestInstance.Instance;
MatlabSession session = new MatlabSession(app);
Workspace space = new Workspace(session, workspaceName);
space.PutObject("a", 1d);
app.Execute("b=a*2");
object output = space.GetVariable("b");
Assert.IsNotNull(output);
Assert.AreEqual(2d, output);
}
public double[,] ExeAlgorithm3(double[] inputData, string algType)
{
MLAppClass matlab2 = new MLAppClass();
double[,] outputData = new double[inputData.Length, 1];
if (algType == "dbp")
{
matlab2.PutWorkspaceData("n1", "base", inputData);
matlab2.Execute("n2=funBP(n1)");
var n = matlab2.GetVariable("n2", "base");
outputData = (double[,])n;
}
return outputData;
}
public double[,] ExeAlgorithm(double[] inputData, string algType)
{
MLAppClass matlab1 = new MLAppClass();
double[,] outputData = new double[inputData.Length, 1];
if (algType == "bp")
{
matlab1.PutWorkspaceData("a", "base", inputData);
matlab1.Execute("b=funBP(a)");
var b = matlab1.GetVariable("b", "base");
outputData = (double[, ])b;
}
return(outputData);
}
public double[,] ExeAlgorithm3(double[] inputData, string algType)
{
MLAppClass matlab2 = new MLAppClass();
double[,] outputData = new double[inputData.Length, 1];
if (algType == "dbp")
{
matlab2.PutWorkspaceData("n1", "base", inputData);
matlab2.Execute("n2=funBP(n1)");
var n = matlab2.GetVariable("n2", "base");
outputData = (double[, ])n;
}
return(outputData);
}
/// <summary>
/// 使用matlab库运算矩阵乘法
/// </summary>
/// <param name="m"></param>
/// <returns></returns>
public Matrix MultiplyByMatrix_MATLAB(Matrix m)
{
MLAppClass matlab = new MLAppClass();
double[,] pia = new double[m.nRows, m.nColumns];
double[,] pib = new double[this.nRows, this.nColumns];
matlab.PutFullMatrix("A", "base", m.Cell, pia);
matlab.PutFullMatrix("B", "base", this.Cell, pib);
matlab.Execute("C = A*B;");
Matrix result =new Matrix(m.nRows, this.nColumns);
System.Array pir = new double[m.nRows,this.nColumns];
System.Array prr = new double[m.nRows, this.nColumns];
matlab.GetFullMatrix("C", "base",ref prr,ref pir);
for(int i =0;i<prr.GetLength(0);i++)
{
for (int j = 0; j < prr.GetLength(1); j++) result.Cell[i, j] = (double)(prr.GetValue(i, j));
}
return result;
}
public double[,] ExeAlgorithm(string algType, double[] inputData)
{
MLAppClass matlab1 = new MLAppClass();
double[,] outputData = new double[inputData.Length, 1];
if (algType == "bp")
{
matlab1.PutWorkspaceData("a", "base", inputData);
matlab1.Execute("b=2*a");//matlab1.Execute("b=funBP(a)");
var b = matlab1.GetVariable("b", "base");
outputData = (double[, ])b;
Console.WriteLine("This is the first algorithm");
foreach (var i in outputData)
{
Console.Write(i);
}
}
if (algType == "rbf")
{
matlab1.PutWorkspaceData("a", "base", inputData);
matlab1.Execute("b=4*a");//matlab1.Execute("b=funRBF(a)");
var b = matlab1.GetVariable("b", "base");
outputData = (double[, ])b;
Console.WriteLine("This is the second algorithm");
foreach (var i in outputData)
{
Console.Write(i);
}
}
if (algType == "multi_regression")
{
matlab1.PutWorkspaceData("a", "base", inputData);
matlab1.Execute("b=10*a");// matlab1.Execute("b=funMultiRegression(a)");
var b = matlab1.GetVariable("b", "base");
outputData = (double[, ])b;
Console.WriteLine("This is the third algorithm");
foreach (var i in outputData)
{
Console.Write(i);
}
}
if (algType == "BF_RBF_15")
{
matlab1.Execute("path(path,'K:\\Users\\kevin\\Desktop\\现有算法\\TestAlg')");
matlab1.PutWorkspaceData("a", "base", inputData);
matlab1.Execute("b=BF_RBF_15()");// matlab1.Execute("b=funMultiRegression(a)");
var b = matlab1.GetVariable("b", "base");
outputData = (double[, ])b;
//Console.WriteLine("This is the third algorithm");
//foreach (var i in outputData)
//{
// Console.Write(i);
//}
}
return(outputData);
}
public double[,] ExeAlgorithm(string algType, double[] inputData)
{
MLAppClass matlab1 = new MLAppClass();
double[,] outputData = new double[inputData.Length, 1];
if (algType == "bp")
{
matlab1.PutWorkspaceData("a", "base", inputData);
matlab1.Execute("b=2*a");//matlab1.Execute("b=funBP(a)");
var b = matlab1.GetVariable("b", "base");
outputData = (double[,])b;
Console.WriteLine("This is the first algorithm");
foreach (var i in outputData)
{
Console.Write(i);
}
}
if (algType == "rbf")
{
matlab1.PutWorkspaceData("a", "base", inputData);
matlab1.Execute("b=4*a");//matlab1.Execute("b=funRBF(a)");
var b = matlab1.GetVariable("b", "base");
outputData = (double[,])b;
Console.WriteLine("This is the second algorithm");
foreach (var i in outputData)
{
Console.Write(i);
}
}
if (algType == "multi_regression")
{
matlab1.PutWorkspaceData("a", "base", inputData);
matlab1.Execute("b=10*a");// matlab1.Execute("b=funMultiRegression(a)");
var b = matlab1.GetVariable("b", "base");
outputData = (double[,])b;
Console.WriteLine("This is the third algorithm");
foreach (var i in outputData)
{
Console.Write(i);
}
}
if (algType == "BF_RBF_15")
{
matlab1.Execute("path(path,'K:\\Users\\kevin\\Desktop\\现有算法\\TestAlg')");
matlab1.PutWorkspaceData("a", "base", inputData);
matlab1.Execute("b=BF_RBF_15()");// matlab1.Execute("b=funMultiRegression(a)");
var b = matlab1.GetVariable("b", "base");
outputData = (double[,])b;
//Console.WriteLine("This is the third algorithm");
//foreach (var i in outputData)
//{
// Console.Write(i);
//}
}
return outputData;
}
