drwnQuadraticFeatureMap Class Reference

Augments input feature vector with square of each feature (normalized so that if input is zero mean and unit variance so will output) as well as cross-terms and constant one (i.e., to allow for a bias weight) More...

Inheritance diagram for drwnQuadraticFeatureMap:

Public Member Functions
	drwnQuadraticFeatureMap (int nFeatures)
const char *	type () const
	returns object type as a string (e.g., Foo::type() { return "Foo"; })
drwnQuadraticFeatureMap *	clone () 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 output space
vector< double >	operator() (const vector< double > &x) const
	feature vector
double	dot (const vector< double > &theta, const vector< double > &x) const
	dot product
void	mac (vector< double > &theta, const vector< double > &x, double alpha) const
	multiply-accumulate
Public Member Functions inherited from drwnFeatureMap
	drwnFeatureMap ()
	default constructor
	drwnFeatureMap (int nFeatures)
	construct with known number of input features
virtual	~drwnFeatureMap ()
	destructor
int	numFeatures () const
	returns the number of features in the input space
virtual void	initialize (int nFeatures)
	initialize number of (intput) features

Additional Inherited Members
Protected Attributes inherited from drwnFeatureMap
int	_nFeatures
	number of input features

Detailed Description

Augments input feature vector with square of each feature (normalized so that if input is zero mean and unit variance so will output) as well as cross-terms and constant one (i.e., to allow for a bias weight)

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

• drwnFeatureMaps.h