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drwnIdentityJointFeatureMap Class Reference

Includes a copy of each feature from the input space for each class other than the last, i.e., $\phi(x, y) = \left(\delta\!\left\{y = 0\right\} x^T, \ldots, \delta\!\left\{y = K - 2\right\}x^T\right) \in \mathbb{R}^{(K - 1) n}$. This is the standard feature mapping for multi-class logistic models. More...

Inheritance diagram for drwnIdentityJointFeatureMap:
drwnJointFeatureMap drwnTypeable drwnCloneable

Public Member Functions

 drwnIdentityJointFeatureMap (int nFeatures, int nClasses)
 
const char * type () const
 returns object type as a string (e.g., Foo::type() { return "Foo"; })
 
drwnIdentityJointFeatureMapclone () const
 returns a copy of the class usually implemented as virtual Foo* clone() { return new Foo(*this); }
 
int numParameters () const
 returns the number of features in the (joint) output space
 
void initialize (int nFeatures, int nClasses)
 initialize number of classes and number of features
 
vector< double > operator() (const vector< double > &x, int y) const
 joint feature vector for given class
 
vector< double > operator() (const vector< double > &x) const
 joint feature vector summed over classes
 
double dot (const vector< double > &theta, const vector< double > &x, int y) const
 dot product
 
double dot (const vector< double > &theta, const vector< double > &x) const
 dot product
 
void mac (vector< double > &theta, const vector< double > &x, double alpha, int y) const
 multiply-accumulate
 
void mac (vector< double > &theta, const vector< double > &x, const vector< double > &alpha) const
 multiply-accumulate
 
- Public Member Functions inherited from drwnJointFeatureMap
 drwnJointFeatureMap ()
 default constructor
 
 drwnJointFeatureMap (int nFeatures, int nClasses)
 construct with known number of input features and classes
 
virtual ~drwnJointFeatureMap ()
 destructor
 
int numFeatures () const
 returns the number of features in the input space
 
int numClasses () const
 returns the number of classes
 
double dot (const vector< double > &theta, const vector< double > &x) const
 returns the dot product $\sum_y \theta^T \phi(x, y)$ (default behaviour is very inefficient)
 

Protected Attributes

int _nFeaturesDiv4
 
int _nFeaturesMod4
 
- Protected Attributes inherited from drwnJointFeatureMap
int _nFeatures
 number of input features
 
int _nClasses
 number of class labels
 

Detailed Description

Includes a copy of each feature from the input space for each class other than the last, i.e., $\phi(x, y) = \left(\delta\!\left\{y = 0\right\} x^T, \ldots, \delta\!\left\{y = K - 2\right\}x^T\right) \in \mathbb{R}^{(K - 1) n}$. This is the standard feature mapping for multi-class logistic models.


The documentation for this class was generated from the following file: