LSSTApplications
19.0.0-14-gb0260a2+72efe9b372,20.0.0+7927753e06,20.0.0+8829bf0056,20.0.0+995114c5d2,20.0.0+b6f4b2abd1,20.0.0+bddc4f4cbe,20.0.0-1-g253301a+8829bf0056,20.0.0-1-g2b7511a+0d71a2d77f,20.0.0-1-g5b95a8c+7461dd0434,20.0.0-12-g321c96ea+23efe4bbff,20.0.0-16-gfab17e72e+fdf35455f6,20.0.0-2-g0070d88+ba3ffc8f0b,20.0.0-2-g4dae9ad+ee58a624b3,20.0.0-2-g61b8584+5d3db074ba,20.0.0-2-gb780d76+d529cf1a41,20.0.0-2-ged6426c+226a441f5f,20.0.0-2-gf072044+8829bf0056,20.0.0-2-gf1f7952+ee58a624b3,20.0.0-20-geae50cf+e37fec0aee,20.0.0-25-g3dcad98+544a109665,20.0.0-25-g5eafb0f+ee58a624b3,20.0.0-27-g64178ef+f1f297b00a,20.0.0-3-g4cc78c6+e0676b0dc8,20.0.0-3-g8f21e14+4fd2c12c9a,20.0.0-3-gbd60e8c+187b78b4b8,20.0.0-3-gbecbe05+48431fa087,20.0.0-38-ge4adf513+a12e1f8e37,20.0.0-4-g97dc21a+544a109665,20.0.0-4-gb4befbc+087873070b,20.0.0-4-gf910f65+5d3db074ba,20.0.0-5-gdfe0fee+199202a608,20.0.0-5-gfbfe500+d529cf1a41,20.0.0-6-g64f541c+d529cf1a41,20.0.0-6-g9a5b7a1+a1cd37312e,20.0.0-68-ga3f3dda+5fca18c6a4,20.0.0-9-g4aef684+e18322736b,w.2020.45
LSSTDataManagementBasePackage
|
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... | |
Vector | getMu () const |
Get/set the location parameter (mean/median/mode) of this component. More... | |
void | setMu (Vector const &mu) |
Matrix | getSigma () const |
Get/set the shape/size parameter. More... | |
void | setSigma (Matrix const &sigma) |
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) |
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.
|
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.
|
inline |
|
inline |
|
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)
|
inline |
void lsst::meas::modelfit::MixtureComponent::setSigma | ( | Matrix const & | sigma | ) |
|
friend |
Scalar lsst::meas::modelfit::MixtureComponent::weight |