Package rst.stochastics
The use of the term stochastic to mean based on the theory of
probability.
Messages
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Message MixtureOfGaussian1D
class rst.stochastics.
MixtureOfGaussian1D
Constraint : sum(.components.weight) = 1
Weighted mixture of one-dimensional Gaussian distributions.
Code author: Xavier Alameda-Pineda <xavier. alameda-pineda@ inrialpes. fr >
Code author: Johannes Wienke <jwienke@ techfak. uni-bielefeld. de >
components
Components of the mixture.
An empty set of components is not allowed.
The order of elements is not significant.
Download this file
message MixtureOfGaussian1D {
/**
* A mixture component distribution with its associated weight.
*/
message GaussianComponent1D {
/**
* The Gaussian distribution associated with this component.
*/
required Gaussian1D gaussian = 1 ;
/**
* Weight of this component.
*/
// @constraint(0 <= value <= 1)
required float weight = 2 ;
/**
* Deprecated implementation detail - do not use.
*/
required float probability_state = 3 ;
}
/**
* Components of the mixture.
*
* An empty set of components is not allowed.
* The order of elements is not significant.
*/
repeated GaussianComponent1D components = 1 ;
}
Message GaussianComponent1D
class rst.stochastics.MixtureOfGaussian1D.
GaussianComponent1D
A mixture component distribution with its associated weight.
gaussian
The Gaussian distribution associated with this component.
weight
Constraint : 0 <= value <= 1
Weight of this component.
probability_state
Deprecated implementation detail - do not use.
Download this file
message GaussianComponent1D {
/**
* The Gaussian distribution associated with this component.
*/
required Gaussian1D gaussian = 1 ;
/**
* Weight of this component.
*/
// @constraint(0 <= value <= 1)
required float weight = 2 ;
/**
* Deprecated implementation detail - do not use.
*/
required float probability_state = 3 ;
}
Message Gaussian1D
Download this file
message Gaussian1D {
/**
* Mean of the distribution.
*/
required float mean = 1 ;
/**
* Variance of the distribution.
*/
// @constraint(value >= 0)
required float variance = 2 ;
}