LSSTApplications
17.0+11,17.0+34,17.0+56,17.0+57,17.0+59,17.0+7,17.0-1-g377950a+33,17.0.1-1-g114240f+2,17.0.1-1-g4d4fbc4+28,17.0.1-1-g55520dc+49,17.0.1-1-g5f4ed7e+52,17.0.1-1-g6dd7d69+17,17.0.1-1-g8de6c91+11,17.0.1-1-gb9095d2+7,17.0.1-1-ge9fec5e+5,17.0.1-1-gf4e0155+55,17.0.1-1-gfc65f5f+50,17.0.1-1-gfc6fb1f+20,17.0.1-10-g87f9f3f+1,17.0.1-11-ge9de802+16,17.0.1-16-ga14f7d5c+4,17.0.1-17-gc79d625+1,17.0.1-17-gdae4c4a+8,17.0.1-2-g26618f5+29,17.0.1-2-g54f2ebc+9,17.0.1-2-gf403422+1,17.0.1-20-g2ca2f74+6,17.0.1-23-gf3eadeb7+1,17.0.1-3-g7e86b59+39,17.0.1-3-gb5ca14a,17.0.1-3-gd08d533+40,17.0.1-30-g596af8797,17.0.1-4-g59d126d+4,17.0.1-4-gc69c472+5,17.0.1-6-g5afd9b9+4,17.0.1-7-g35889ee+1,17.0.1-7-gc7c8782+18,17.0.1-9-gc4bbfb2+3,w.2019.22
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 |