Package smile.base.svm

Class LinearKernelMachine

java.lang.Object

smile.base.svm.LinearKernelMachine

All Implemented Interfaces:

Serializable

public class LinearKernelMachine
extends Object
implements Serializable

Linear kernel machine.

See Also:

• Serialized Form

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	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(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<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 Details

LinearKernelMachine

public LinearKernelMachine(double[] w,
 double b)

Constructor.

Parameters:

w - the weight vector.

b - the intercept.

Method Details

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<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.

Parameters:

x - the instance.

Returns:

the score.

f

public double f(int[] x)

Returns the value of decision function.

Parameters:

x - the binary sparse instance.

Returns:

the score.

f

public double f(SparseArray x)

Returns the value of decision function.

Parameters:

x - the sparse instance.

Returns:

the score.