org.tribuo.math.kernel

Class Linear

java.lang.Object

org.tribuo.math.kernel.Linear

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 Linear
extends Object
implements Kernel

A linear kernel, u.dot(v).

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Linear() A linear kernel, u.dot(v).

Method Summary

Modifier and Type	Method and 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 Detail

Linear

public Linear()

A linear kernel, u.dot(v).

Method Detail

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>