public class DenseVector extends Object implements Vector
| Constructor and Description |
|---|
DenseVector()
Empty constructor necessary for making
RepresentationFactory support this implementation. |
DenseVector(org.ejml.data.DenseMatrix64F featureVector)
Initializing constructor.
|
DenseVector(float[] featureVector)
Initializing constructor.
|
| 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 |
boolean |
equals(Object featureVector) |
float |
getFeatureValue(int featureIndex)
Returns the feature value of the
featureIndex-th element |
org.ejml.data.DenseMatrix64F |
getFeatureValues()
Returns the feature values in the EJML format
|
int |
getNumberOfFeatures()
Returns the number of featuresValues
|
float |
getSquaredNorm()
Returns the squared norm of this vector
|
String |
getTextFromData()
Returns a textual representation of the data stored in this
representation
|
Vector |
getZeroVector()
Returns a vector whose values are all 0.
|
float |
innerProduct(Vector vector)
Returns the dot product between this vector and
vector |
void |
normalize()
Scales the representation in order to have a unit norm in the explicit feature
space
|
void |
scale(float coeff)
Multiplies each element of this representation by
coeff |
void |
setDataFromText(String representationDescription)
Initializes a Representation using its textual description provided in
representationDescription |
void |
setFeatureValues(org.ejml.data.DenseMatrix64F featureVector)
Sets the feature values.
|
void |
setFeatureValues(float[] featureValues)
Sets the feature values.
|
String |
toString() |
public DenseVector()
RepresentationFactory support this implementation.featureVector - is an array of feature valuespublic DenseVector(float[] featureVector)
featureVector - is an array of feature valuespublic DenseVector(org.ejml.data.DenseMatrix64F featureVector)
featureVector - is an array of feature values in the EJML formatpublic void setDataFromText(String representationDescription)
RepresentationrepresentationDescriptionsetDataFromText in interface RepresentationrepresentationDescription - the textual description of the representation to be
initializedpublic void setFeatureValues(float[] featureValues)
featureValues - is an array of feature valuespublic void setFeatureValues(org.ejml.data.DenseMatrix64F featureVector)
featureVector - is an array of feature values in the EJML formatpublic org.ejml.data.DenseMatrix64F getFeatureValues()
public float getFeatureValue(int featureIndex)
featureIndex-th elementfeatureIndex - the index of the feature whose value must be returnedpublic int getNumberOfFeatures()
public void normalize()
Normalizablenormalize in interface Normalizablepublic float innerProduct(Vector vector)
VectorvectorinnerProduct in interface Vectorpublic void scale(float coeff)
Normalizablecoeffscale in interface Normalizablecoeff - the scaling factorpublic void add(Vector vector)
Vectorvector to this vectorpublic void add(float coeff,
Vector vector)
Vectorvector multiplied by coeff to this vectorpublic void add(float coeff,
float vectorCoeff,
Vector vector)
Vectorvector multiplied by vectorCoeff to this
vector multiplied bypublic Vector getZeroVector()
VectorgetZeroVector in interface Vectorpublic String getTextFromData()
RepresentationgetTextFromData in interface Representationpublic float getSquaredNorm()
NormalizablegetSquaredNorm in interface NormalizableCopyright © 2014 Semantic Analytics Group @ Uniroma2. All rights reserved.