LSSTApplications
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LSSTDataManagementBasePackage
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A weighted Student's T or Gaussian distribution used as a component in a Mixture. More...
#include <Mixture.h>
Public Member Functions | |
int | getDimension () const |
Return the number of dimensions. More... | |
MixtureComponent | project (int dim) const |
Project the distribution onto the given dimension (marginalize over all others) More... | |
MixtureComponent | project (int dim1, int dim2) const |
Project the distribution onto the given dimensions (marginalize over all others) More... | |
MixtureComponent (int dim) | |
Default-construct a mixture component with weight=1, mu=0, sigma=identity. More... | |
MixtureComponent (Scalar weight_, Vector const &mu, Matrix const &sigma) | |
Default-construct a mixture component with the given parameters. More... | |
MixtureComponent & | operator= (MixtureComponent const &other) |
Vector | getMu () const |
Get/set the location parameter (mean/median/mode) of this component. More... | |
void | setMu (Vector const &mu) |
Get/set the location parameter (mean/median/mode) of this component. More... | |
Matrix | getSigma () const |
Get/set the shape/size parameter. More... | |
void | setSigma (Matrix const &sigma) |
Get/set the shape/size parameter. More... | |
Public Attributes | |
Scalar | weight |
Weight of this distribution in the mixture. More... | |
Friends | |
class | Mixture |
std::ostream & | operator<< (std::ostream &os, MixtureComponent const &self) |
A weighted Student's T or Gaussian distribution used as a component in a Mixture.
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explicit |
Default-construct a mixture component with weight=1, mu=0, sigma=identity.
lsst::meas::modelfit::MixtureComponent::MixtureComponent | ( | Scalar | weight_, |
Vector const & | mu, | ||
Matrix const & | sigma | ||
) |
Default-construct a mixture component with the given parameters.
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inline |
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inline |
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inline |
Get/set the shape/size parameter.
For the Gaussian distribution, this is simply the covariance matrix. For the Student's T distribution with df > 2, covariance = sigma * df / (df - 2); for df <= 2, the Student's T distribution has infinite variance, but is still a valid distribution.
MixtureComponent& lsst::meas::modelfit::MixtureComponent::operator= | ( | MixtureComponent const & | other | ) |
MixtureComponent lsst::meas::modelfit::MixtureComponent::project | ( | int | dim | ) | const |
Project the distribution onto the given dimension (marginalize over all others)
MixtureComponent lsst::meas::modelfit::MixtureComponent::project | ( | int | dim1, |
int | dim2 | ||
) | const |
Project the distribution onto the given dimensions (marginalize over all others)
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inline |
void lsst::meas::modelfit::MixtureComponent::setSigma | ( | Matrix const & | sigma | ) |
Get/set the shape/size parameter.
For the Gaussian distribution, this is simply the covariance matrix. For the Student's T distribution with df > 2, covariance = sigma * df / (df - 2); for df <= 2, the Student's T distribution has infinite variance, but is still a valid distribution.
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friend |
Scalar lsst::meas::modelfit::MixtureComponent::weight |