Uses of Interface
com.gregdennis.drej.Kernel

Packages that use Kernel

com.gregdennis.drej

Uses of Kernel in com.gregdennis.drej

Classes in com.gregdennis.drej that implement Kernel

class	GaussianKernel A Gaussian kernel of the following form: K(x1, x2) = exp(‒γ² · ∥x1 - x2∥²)
class	InverseMultiquadricKernel A multiquadric kernel of the following form: K(x1, x2) = 1 / √(∥x1 - x2∥² + γ²)
class	LinearKernel A linear kernel of the following form: K(x1, x2) = x1 · x2
class	MultiquadricKernel A multiquadric kernel of the following form: K(x1, x2) = ‒√(∥x1 - x2∥² + γ²)
class	PolynomialKernel A polymonial kernel of the following form: K(x1, x2) = (x1 · x2 + 1)d

Methods in com.gregdennis.drej with parameters of type Kernel

static GMatrix	Regression.kernelMatrix(GMatrix data, Kernel kernel) Returns a kernel matrix for the specified data matrix (each column contains a data point) and the specified kernel.
static Representer	Regression.solve(GMatrix data, GVector values, Kernel kernel, double lambda) Performs a least squares regression for the specified data matrix (one data point in each column), and returns a representer function fit to the data.

Constructors in com.gregdennis.drej with parameters of type Kernel

Representer(Kernel kernel, GMatrix data, GVector coeffs)
Constructs a new representer with the specified kernel, data matrix, and coefficients.