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.