LSST Applications 27.0.0,g0265f82a02+469cd937ee,g02d81e74bb+21ad69e7e1,g1470d8bcf6+cbe83ee85a,g2079a07aa2+e67c6346a6,g212a7c68fe+04a9158687,g2305ad1205+94392ce272,g295015adf3+81dd352a9d,g2bbee38e9b+469cd937ee,g337abbeb29+469cd937ee,g3939d97d7f+72a9f7b576,g487adcacf7+71499e7cba,g50ff169b8f+5929b3527e,g52b1c1532d+a6fc98d2e7,g591dd9f2cf+df404f777f,g5a732f18d5+be83d3ecdb,g64a986408d+21ad69e7e1,g858d7b2824+21ad69e7e1,g8a8a8dda67+a6fc98d2e7,g99cad8db69+f62e5b0af5,g9ddcbc5298+d4bad12328,ga1e77700b3+9c366c4306,ga8c6da7877+71e4819109,gb0e22166c9+25ba2f69a1,gb6a65358fc+469cd937ee,gbb8dafda3b+69d3c0e320,gc07e1c2157+a98bf949bb,gc120e1dc64+615ec43309,gc28159a63d+469cd937ee,gcf0d15dbbd+72a9f7b576,gdaeeff99f8+a38ce5ea23,ge6526c86ff+3a7c1ac5f1,ge79ae78c31+469cd937ee,gee10cc3b42+a6fc98d2e7,gf1cff7945b+21ad69e7e1,gfbcc870c63+9a11dc8c8f
LSST Data Management Base Package
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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. | |
Vector | getMu () const |
Get/set the location parameter (mean/median/mode) of this component. | |
void | setMu (Vector const &mu) |
Matrix | getSigma () const |
Get/set the shape/size parameter. | |
void | setSigma (Matrix const &sigma) |
MixtureComponent | project (int dim) const |
Project the distribution onto the given dimension (marginalize over all others) | |
MixtureComponent | project (int dim1, int dim2) const |
Project the distribution onto the given dimensions (marginalize over all others) | |
MixtureComponent (int dim) | |
Default-construct a mixture component with weight=1, mu=0, sigma=identity. | |
MixtureComponent (Scalar weight_, Vector const &mu, Matrix const &sigma) | |
Default-construct a mixture component with the given parameters. | |
MixtureComponent & | operator= (MixtureComponent const &other) |
Public Attributes | |
Scalar | weight |
Weight of this distribution in the mixture. | |
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.
Definition at line 71 of file Mixture.h.
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 | ) |
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friend |
Scalar lsst::meas::modelfit::MixtureComponent::weight |