Nothing
#f <- function() {
x <- read_chunk_as_array(with.dimnames = TRUE)
d = dim(x)
bnames = dimnames(x)[[1]]
nvar = d[1]
nobs = prod(d[2:4])
dim(x) = c(nvar, nobs)
df = data.frame(t(x))
colnames(df) <- bnames
idx = which(complete.cases(df))
df = df[idx,]
if ("model_fit" %in% class(model)) {
args$new_data = df # tidymodels fix
} else {
args$newdata = df
}
args$object = model
p = do.call("predict", args)
out = array(NA, dim=c(length(output_names),nobs))
if (is.list(p)) {
for (i in 1:length(output_names)) {
z = p[[output_names[i]]]
if (!is.numeric(z) && !is.factor(z)) {
stop("Unexpected output from predict().")
}
out[i,idx] = as.numeric(z)
}
} else if (is.matrix(p)) {
for (i in 1:length(output_names)) {
out[i,idx] = p[,output_names[i]]
}
} else if (is.numeric(p) || is.factor(p)) {
out[1, idx] = p
} else {
stop("Unexpected output from predict().")
}
dim(out) <- c(length(output_names),d[2:4])
write_chunk_from_array(out)
#}
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