# (Hidden) General function to set names
.setNames <- function(object, values, dimensionality, views="all") {
nodes <- names(Expectations(object))
if (paste0(views,collapse="") == "all") {
views <- names(getDimensions(object)[["D"]])
} else {
stopifnot(all(views%in% names(getDimensions(object)[["D"]]) ))
}
# Loop over training data
for (m in views) {
if (nrow(TrainData(object)[[m]]) == dimensionality)
rownames(TrainData(object)[[m]]) <- values
if (ncol(TrainData(object)[[m]]) == dimensionality)
colnames(TrainData(object)[[m]]) <- values
}
# Loop over nodes
for (node in nodes) {
# Multi-view nodes
if (node != "Z") {
# Loop over views
for (m in views) {
# Loop over expectations
if (is(Expectations(object)[[node]][[m]], "matrix")) {
if (nrow(Expectations(object)[[node]][[m]]) == dimensionality)
rownames(Expectations(object)[[node]][[m]]) <- values
if (ncol(Expectations(object)[[node]][[m]]) == dimensionality)
colnames(Expectations(object)[[node]][[m]]) <- values
} else if (is(Expectations(object)[[node]][[m]], "array")) {
if (length(Expectations(object)[[node]][[m]]) == dimensionality)
names(Expectations(object)[[node]][[m]]) <- values
}
}
# Single-view nodes
} else {
# Loop over expectations
if (is(Expectations(object)[[node]], "matrix")) {
if (nrow(Expectations(object)[[node]]) == dimensionality)
rownames(Expectations(object)[[node]]) <- values
if (ncol(Expectations(object)[[node]]) == dimensionality)
colnames(Expectations(object)[[node]]) <- values
} else if (is(Expectations(object)[[node]], "array")) {
if (length(Expectations(object)[[node]]) == dimensionality)
names(Expectations(object)[[node]]) <- values
}
}
}
return(object)
}
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