/// <summary>
/// Расчет одного значения
/// </summary>
/// <param name="inp">Независимая переменная</param>
/// <returns>Прогноз</returns>
public double Predict(double inp)
{
Vector data = ExtensionOfFeatureSpace.Polinomial(inp, X.N - 1);
double outp = GeomFunc.ScalarProduct(data, param);
return(outp);
}
/// <summary>
/// Расчет одного значения
/// </summary>
/// <param name="inp">Независимая переменная</param>
/// <returns>Прогноз</returns>
public double Predict(double inp)
{
Vector data = ExtensionOfFeatureSpace.GaussRBF(inp, X, sig);
double outp = GeomFunc.ScalarProduct(data, param);
return(outp);
}
/// <summary>
/// Полиномиальная регрессия
/// </summary>
public PolynomialRegression(Vector inp, Vector outp, int nPoly = 3)
{
_nPoly = nPoly;
Vector[] vects = new Vector[inp.N];
for (int i = 0; i < inp.N; i++)
{
vects[i] = ExtensionOfFeatureSpace.Polinomial(inp[i], nPoly);
}
mR = new MultipleRegression(vects, outp);
}
/// <summary>
/// Регрессия по косинусам
/// </summary>
/// <param name="inp">Вектор входа</param>
/// <param name="outp">Вектор входа</param>
/// <param name="cos"></param>
public CosRegression(Vector inp, Vector outp, int cos = 3)
{
_cos = cos;
Vector[] vects = new Vector[inp.N];
for (int i = 0; i < inp.N; i++)
{
vects[i] = ExtensionOfFeatureSpace.SinCos(inp[i], cos);
vects[i] = vects[i].AddOne();
}
mR = new MultipleRegression(vects, outp);
}
private void Param()
{
A = new Matrix(n, n);
Vector[] vect = new Vector[n];
for (int i = 0; i < n; i++)
{
vect[i] = ExtensionOfFeatureSpace.GaussRBF(newX[i], newX, sigma);
}
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
A[i, j] = vect[i][j];
}
}
Kramer kram = new Kramer();
param = kram.GetAnswer(A, newY);
}
private void Param()
{
Matrix A = new Matrix(X.N, X.N);
Vector[] vect = new Vector[X.N];
for (int i = 0; i < X.N; i++)
{
vect[i] = ExtensionOfFeatureSpace.Polinomial(X[i], X.N - 1);
}
for (int i = 0; i < X.N; i++)
{
for (int j = 0; j < X.N; j++)
{
A[i, j] = vect[i][j];
}
}
Kramer kram = new Kramer();
param = kram.GetAnswer(A, Y);
}
/// <summary>
/// Прогноз
/// </summary>
/// <param name="inp">Значение незав. переменной</param>
public double Predict(double inp)
{
Vector X = ExtensionOfFeatureSpace.SinCos(inp, _cos);
return(mR.Predict(X.AddOne()));
}
/// <summary>
/// Прогноз
/// </summary>
/// <param name="inp">Значение незав. переменной</param>
public double Predict(double inp)
{
Vector X = ExtensionOfFeatureSpace.GaussRBF(inp, newX, sigma);
return(GeomFunc.ScalarProduct(X, param));
}
/// <summary>
/// Прогноз
/// </summary>
/// <param name="inp">Значение незав. переменной</param>
public double Predict(double inp)
{
Vector X = ExtensionOfFeatureSpace.Polinomial(inp, _nPoly);
return(mR.Predict(X));
}
/// <summary>
/// Прогноз
/// </summary>
/// <param name="inp">Значение незав. переменной</param>
public double Predict(double inp)
{
Vector X = ExtensionOfFeatureSpace.Sinc(inp, newX);
return(GeomFunc.ScalarProduct(X, param));
}
/// <summary>
/// Прогноз
/// </summary>
/// <param name="inp">вход</param>
/// <returns>выход</returns>
public double Predict(double inp)
{
Vector X = ExtensionOfFeatureSpace.Polinomial(inp, n - 1);
return(GeomFunc.ScalarProduct(X, param));
}
