maximizeMulGauss: Maximization step for multivariate Gaussian
In acabassi/vimix: Variational Inference for MIXture models
Description
Usage
Arguments
Value
Description
Maximization step for multivariate Gaussian
Usage
1
maximizeMulGauss(X, model, prior)
Arguments
X
NxD data matrix
model
Model parameters
prior
Prior parameters
Value
Updated model parameters
acabassi/vimix documentation built on May 15, 2019, 10:36 p.m.
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Description Usage Arguments Value
Description
Maximization step for multivariate Gaussian
Usage
1 | maximizeMulGauss(X, model, prior)
|
Arguments
X |
NxD data matrix |
model |
Model parameters |
prior |
Prior parameters |
Value
Updated model parameters
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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