it.uniroma2.sag.kelp.data.representation

Interface Vector

All Superinterfaces:

Normalizable, Representation, Serializable

All Known Implementing Classes:

DenseVector, SparseVector

public interface Vector
extends Normalizable

It is a Vectorial representation whose dimensions are identified by Objects

Author:

Simone Filice

Method Summary

Methods

Modifier and Type	Method and Description
void	add(float coeff, float vectorCoeff, Vector vector) Add a vector multiplied by vectorCoeff to this vector multiplied by
void	add(float coeff, Vector vector) Add a vector multiplied by coeff to this vector
void	add(Vector vector) Add a vector to this vector
Vector	copyVector() Returns a copy of this vector.
float	euclideanDistance(Vector vector) Returns the euclidean distance between this vector and vector
Map<Object,Number>	getActiveFeatures() Returns a map containing all the non-zero features
float	getFeatureValue(Object featureIdentifier) Returns the value of the feature identified with featureIdentifier
Vector	getZeroVector() Returns a vector whose values are all 0.
float	innerProduct(Vector vector) Returns the dot product between this vector and vector
void	pointWiseProduct(Vector vector) Compute the point-wise product of this vector with the one in vector.
void	setFeatureValue(Object featureIdentifier, float value) Assigns value to the feature identified by featureIdentifier

Methods inherited from interface it.uniroma2.sag.kelp.data.representation.Normalizable

getSquaredNorm, normalize, scale

Methods inherited from interface it.uniroma2.sag.kelp.data.representation.Representation

getTextFromData, isCompatible, setDataFromText

Method Detail

innerProduct

float innerProduct(Vector vector)

Returns the dot product between this vector and vector

Parameters:

vector -

Returns:

the dot product

euclideanDistance

float euclideanDistance(Vector vector)
                        throws VectorOperationException

Returns the euclidean distance between this vector and vector

Parameters:

vector -

Returns:

the euclidead distance

Throws:

VectorOperationException

Exception

pointWiseProduct

void pointWiseProduct(Vector vector)

Compute the point-wise product of this vector with the one in vector.

Parameters:

vector - the vector used for the point-wise product

add

void add(Vector vector)

Add a vector to this vector

Parameters:

vector - the vector to be added

add

void add(float coeff,
       Vector vector)

Add a vector multiplied by coeff to this vector

Parameters:

coeff - the vector coefficient

vector - the vector to be added

add

void add(float coeff,
       float vectorCoeff,
       Vector vector)

Add a vector multiplied by vectorCoeff to this vector multiplied by

Parameters:

coeff - the coefficient of this vector

vectorCoeff - the vector coefficient

vector - the vector to be added

getZeroVector

Vector getZeroVector()

Returns a vector whose values are all 0. The returned vector has the same dimensions of this

Returns:

a zero vector

copyVector

Vector copyVector()

Returns a copy of this vector.

Returns:

Vector

getActiveFeatures

Map<Object,Number> getActiveFeatures()

Returns a map containing all the non-zero features

Returns:

the non zero features

setFeatureValue

void setFeatureValue(Object featureIdentifier,
                   float value)

Assigns value to the feature identified by featureIdentifier

NOTE: this method could be not the most efficient to set a feature value. Actual implementations of the Vector class may provide faster methods using their specific type to identify features (instead of a generic Object)

Parameters:

featureIdentifier - the identifier of the feature

value - the value of the feature

getFeatureValue

float getFeatureValue(Object featureIdentifier)

Returns the value of the feature identified with featureIdentifier

NOTE: this method could be not the most efficient to get a feature value. Actual implementations of the Vector class may provide faster methods using their specific type to identify features (instead of a generic Object)

Returns:

the value of the feature