ILinear Interface |
Namespace: Accord.Statistics.Kernels
The ILinear type exposes the following members.
Name | Description | |
---|---|---|
Add |
Elementwise addition of a and b, storing in result.
(Inherited from ILinearT.) | |
Compress |
Compress a set of support vectors and weights into a single
parameter vector.
(Inherited from ILinearT.) | |
CreateVector |
Creates an input vector from the given double values.
(Inherited from ILinearT.) | |
Function(Double, T) |
The kernel function.
(Inherited from ILinearT.) | |
GetLength |
Gets the number of parameters in the input vectors.
(Inherited from ILinearT.) | |
Product(Double, T, Double) |
Elementwise multiplication of scalar a and vector b, accumulating in result.
(Inherited from ILinearT.) | |
Product(Double, T, Double) |
Elementwise multiplication of vector a and vector b, accumulating in result.
(Inherited from ILinearT.) | |
ToDouble |
Converts the input vectors to a double-precision representation.
(Inherited from ILinearT.) |
In Machine Learning and statistics, a Kernel is a function that returns the value of the dot product between the images of the two arguments.
k(x,y) = ‹S(x),S(y)›
References: