smile.base.svm

Class LinearKernelMachine

java.lang.Object

smile.base.svm.LinearKernelMachine

All Implemented Interfaces:

java.io.Serializable

public class LinearKernelMachine
extends java.lang.Object
implements java.io.Serializable

Linear kernel machine.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LinearKernelMachine(double[] w, double b) Constructor.

Method Summary

Modifier and Type	Method and Description
static LinearKernelMachine	binary(int p, KernelMachine<int[]> kernelMachine) Creates a linear kernel machine.
double	f(double[] x) Returns the value of decision function.
double	f(int[] x) Returns the value of decision function.
double	f(smile.util.SparseArray x) Returns the value of decision function.
static LinearKernelMachine	of(KernelMachine<double[]> kernelMachine) Creates a linear kernel machine.
static LinearKernelMachine	sparse(int p, KernelMachine<smile.util.SparseArray> kernelMachine) Creates a linear kernel machine.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LinearKernelMachine

public LinearKernelMachine(double[] w,
                           double b)

Constructor.

Parameters:

w - the weight vector.

b - the intercept.

Method Detail

of

public static LinearKernelMachine of(KernelMachine<double[]> kernelMachine)

Creates a linear kernel machine.

Parameters:

kernelMachine - a generic kernel machine.

Returns:

a linear kernel machine

binary

public static LinearKernelMachine binary(int p,
                                         KernelMachine<int[]> kernelMachine)

Creates a linear kernel machine.

Parameters:

p - the dimension of input vector.

kernelMachine - a generic kernel machine.

Returns:

a linear kernel machine

sparse

public static LinearKernelMachine sparse(int p,
                                         KernelMachine<smile.util.SparseArray> kernelMachine)

Creates a linear kernel machine.

Parameters:

p - the dimension of input vector.

kernelMachine - a generic kernel machine.

Returns:

a linear kernel machine

f

public double f(double[] x)

Returns the value of decision function.

f

public double f(int[] x)

Returns the value of decision function.

f

public double f(smile.util.SparseArray x)

Returns the value of decision function.