Darwin  1.10(beta)
drwnGaussian Member List

This is the complete list of members for drwnGaussian, including all inherited members.

AUTO_RIDGE (defined in drwnGaussian)drwnGaussianstatic
clone() constdrwnGaussianinlinevirtual
conditionOn(const vector< int > &indx) constdrwnGaussian
covariance() constdrwnGaussianinline
dimension() constdrwnGaussianinline
drwnGaussian(int n=1)drwnGaussian
drwnGaussian(const VectorXd &mu, double sigma2)drwnGaussian
drwnGaussian(const VectorXd &mu, const MatrixXd &sigma2)drwnGaussian
drwnGaussian(const vector< double > &mu, double sigma2)drwnGaussian
drwnGaussian(const drwnSuffStats &stats)drwnGaussian
drwnGaussian(const drwnGaussian &model)drwnGaussian
dump() constdrwnWriteable
evaluate(const MatrixXd &x, VectorXd &p) constdrwnGaussian
evaluate(const vector< vector< double > > &x, vector< double > &p) constdrwnGaussian
evaluateSingle(const VectorXd &x) constdrwnGaussian
evaluateSingle(const vector< double > &x) constdrwnGaussian
evaluateSingle(double x) constdrwnGaussian
freeCachedParameters() (defined in drwnGaussian)drwnGaussianprotected
guaranteeInvSigma() const (defined in drwnGaussian)drwnGaussianinlineprotected
initialize(int n)drwnGaussian
initialize(const VectorXd &mu, double sigma2)drwnGaussian
initialize(const VectorXd &mu, const MatrixXd &sigma2)drwnGaussian
klDivergence(const drwnGaussian &model) constdrwnGaussian
klDivergence(const drwnSuffStats &stats) constdrwnGaussian
load(drwnXMLNode &xml)drwnGaussianvirtual
logPartitionFunction() constdrwnGaussian
marginalize(const vector< int > &indx) constdrwnGaussian
mean() constdrwnGaussianinline
operator=(const drwnGaussian &model)drwnGaussian
read(const char *filename)drwnWriteable
reduce(const vector< double > &x, const vector< int > &indx) constdrwnGaussian
reduce(const map< int, double > &x) constdrwnGaussian
sample(VectorXd &x) constdrwnGaussian
sample(vector< double > &x) constdrwnGaussian
save(drwnXMLNode &xml) constdrwnGaussianvirtual
train(const MatrixXd &x, double lambda=0.0)drwnGaussian
train(const vector< vector< double > > &x, double lambda=0.0)drwnGaussian
train(const vector< double > &x, double lambda=0.0)drwnGaussian
train(const drwnSuffStats &stats, double lambda=0.0)drwnGaussian
type() constdrwnGaussianinlinevirtual
updateCachedParameters() (defined in drwnGaussian)drwnGaussianprotected
write(const char *filename) constdrwnWriteable
~drwnCloneable() (defined in drwnCloneable)drwnCloneableinlinevirtual
~drwnGaussian() (defined in drwnGaussian)drwnGaussian
~drwnStdObjIface() (defined in drwnStdObjIface)drwnStdObjIfaceinlinevirtual
~drwnTypeable() (defined in drwnTypeable)drwnTypeableinlinevirtual
~drwnWriteable() (defined in drwnWriteable)drwnWriteableinlinevirtual