Package com.gregdennis.drej

Interface Summary

Function	A total scalar function.
Kernel	A Mercer kernel function.

Class Summary

GaussianKernel	A Gaussian kernel of the following form: K(x1, x2) = exp(‒γ² · ∥x1 - x2∥²)
Images	Utility class for manipulating images.
InverseMultiquadricKernel	A multiquadric kernel of the following form: K(x1, x2) = 1 / √(∥x1 - x2∥² + γ²)
LinearKernel	A linear kernel of the following form: K(x1, x2) = x1 · x2
Matrices	Utility methods for matrices and vectors.
MultiquadricKernel	A multiquadric kernel of the following form: K(x1, x2) = ‒√(∥x1 - x2∥² + γ²)
PolynomialKernel	A polymonial kernel of the following form: K(x1, x2) = (x1 · x2 + 1)d
Regression	A least-squares regression, also known as a regularized least squares classification.
Representer	A representer function with a kernel K(x1, x2), a set of training data points (d1, d2, …, dn), and a vector (c1, c2, …, cn) of coefficients.

Exception Summary

NotImageException

Exception thrown when a resource that was expected to be an image is not.