smile.math.kernel

Class SparseLinearKernel

java.lang.Object

smile.math.kernel.SparseLinearKernel

All Implemented Interfaces:

java.io.Serializable, java.util.function.ToDoubleBiFunction<SparseArray,SparseArray>, Function, DotProductKernel, MercerKernel<SparseArray>

public class SparseLinearKernel
extends java.lang.Object
implements MercerKernel<SparseArray>, DotProductKernel

The linear dot product kernel on sparse arrays. When using a linear kernel, input space is identical to feature space.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SparseLinearKernel() Constructor.

Method Summary

Modifier and Type	Method and Description
double[]	hi() Returns the upper bound of hyperparameters.
double[]	hyperparameters() Returns the hyperparameters for tuning.
double	k(double dot) Computes the dot product kernel function.
double	k(SparseArray x, SparseArray y) Kernel function.
double[]	kg(double dot) Computes the dot product kernel function and its gradient over hyperparameters..
double[]	kg(SparseArray x, SparseArray y) Computes the kernel and its gradient over hyperparameters.
double[]	lo() Returns the lower bound of hyperparameters.
SparseLinearKernel	of(double[] params) Returns the same kind kernel with the new hyperparameters.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface smile.math.kernel.MercerKernel

apply, applyAsDouble, K, K, KG

Methods inherited from interface smile.math.kernel.DotProductKernel

apply, f, K

Constructor Detail

SparseLinearKernel

public SparseLinearKernel()

Constructor.

Method Detail

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

k

public double k(double dot)

Description copied from interface: DotProductKernel

Computes the dot product kernel function.

Specified by:

k in interface DotProductKernel

Parameters:

dot - the dot product.

kg

public double[] kg(double dot)

Description copied from interface: DotProductKernel

Computes the dot product kernel function and its gradient over hyperparameters..

Specified by:

kg in interface DotProductKernel

Parameters:

dot - The dot product.

k

public double k(SparseArray x,
                SparseArray y)

Description copied from interface: MercerKernel

Kernel function.

Specified by:

k in interface MercerKernel<SparseArray>

kg

public double[] kg(SparseArray x,
                   SparseArray y)

Description copied from interface: MercerKernel

Computes the kernel and its gradient over hyperparameters.

Specified by:

kg in interface MercerKernel<SparseArray>

of

public SparseLinearKernel of(double[] params)

Description copied from interface: MercerKernel

Returns the same kind kernel with the new hyperparameters.

Specified by:

of in interface MercerKernel<SparseArray>

hyperparameters

public double[] hyperparameters()

Description copied from interface: MercerKernel

Returns the hyperparameters for tuning.

Specified by:

hyperparameters in interface MercerKernel<SparseArray>

lo

public double[] lo()

Description copied from interface: MercerKernel

Returns the lower bound of hyperparameters.

Specified by:

lo in interface MercerKernel<SparseArray>

hi

public double[] hi()

Description copied from interface: MercerKernel

Returns the upper bound of hyperparameters.

Specified by:

hi in interface MercerKernel<SparseArray>