Package org.tribuo.math.kernel

Class Sigmoid

java.lang.Object

org.tribuo.math.kernel.Sigmoid

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable, Kernel

public class Sigmoid
extends Object
implements Kernel

A sigmoid kernel, tanh(gamma*u.dot(v) + intercept).

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
Sigmoid(double gamma, double intercept)	A sigmoid kernel, tanh(gamma*u.dot(v) + intercept).

Method Summary

Modifier and Type	Method	Description
com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance	getProvenance()
double	similarity(SparseVector a, SparseVector b)	Calculates the similarity between two SparseVectors.
String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Configurable

postConfig

Constructor Details

Sigmoid

public Sigmoid(double gamma,
 double intercept)

A sigmoid kernel, tanh(gamma*u.dot(v) + intercept).

Parameters:

gamma - A scalar coefficient.

intercept - An additive coefficient.

Method Details

similarity

public double similarity(SparseVector a,
 SparseVector b)

Description copied from interface: Kernel

Calculates the similarity between two SparseVectors.

Specified by:

similarity in interface Kernel

Parameters:

a - The first SparseVector.

b - The second SparseVector.

Returns:

A value between 0 and 1, where 1 is most similar and 0 is least similar.

toString

public String toString()

Overrides:

toString in class Object

getProvenance

public com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance getProvenance()

Specified by:

getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>