fit.bcgplvm: Fit a back-constrained GPLVM model
In mattdneal/GPLVM: Gaussian Process Latent Variable Models
Description
Fit a back-constrained GPLVM model
Usage
1
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3
fit.bcgplvm(X, q, iterations = 1000, plot.freq = 100, classes = 1,
Z.init = NULL, A.init = NULL, num.init.params = 100, K.bc.l = 0.1,
Z.normal.prior = TRUE)
Arguments
Z.normal.prior
mattdneal/GPLVM documentation built on May 7, 2019, 1:26 p.m.
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Description
Fit a back-constrained GPLVM model
Usage
1 2 3 | fit.bcgplvm(X, q, iterations = 1000, plot.freq = 100, classes = 1,
Z.init = NULL, A.init = NULL, num.init.params = 100, K.bc.l = 0.1,
Z.normal.prior = TRUE)
|
Arguments
Z.normal.prior |
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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