elbo_clust_multi_GP | R Documentation |
Evidence Lower Bound for a mixture of GPs
elbo_clust_multi_GP(hp, db, hyperpost, kern, pen_diag)
hp |
A tibble, data frame or named vector containing hyper-parameters. |
db |
A tibble containing the values we want to compute the elbo on. Required columns: Input, Output. Additional covariate columns are allowed. |
hyperpost |
List of parameters for the K mean GPs. |
kern |
A kernel function used to compute the covariance matrix at corresponding timestamps. |
pen_diag |
A jitter term that is added to the covariance matrix to avoid numerical issues when inverting, in cases of nearly singular matrices. |
The value of the penalised Gaussian elbo for a mixture of GPs
TRUE
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