init_logger: Initialize logger.
In jakobbossek/evoprob: Evolutionary Algorithm to Produce Diverse Problems

Description Usage Arguments Value See Also Examples

View source: R/logger.R

Generates a fairly flexible container to log stuff.

1	init_logger(what, init.size, at = NULL, to = NULL)

`what`	[`named(character)`] Named character vector. The names (i.e. `names(what)`) describe which elements we want to log and the actual values represent the types/modes these values are stored as. Possible values are “integer”, “numeric”, “character”, “logical” for the respective scalar atomic values or “list” for any other complex R objects, e.g., matrices, lists etc. Note that internally `c("iter" = "numeric")` is attached automatically and `iter` must be passed to `\|link{update_logger}` in subsequent calls.
`init.size`	[`integer(1)`] Initial size of the log.
`at`	[`integer`] Optional integer vector of times when logging should take place. If the iteration counter is in `at`, the state is logged, otherwise it is not.
`to`	[`character(1)`] File path to log-directory. If not `NULL`, each call to `update_logger` stores the serialized state in file “<to>/<iteration>.rds”.

[enviroment] Logger environment.

update_logger

log = init_logger(c("P" = "list", "f" = "list", "C" = "character"), init.size = 5L, at = c(1, 3))

# note that div is not subject to logging since it was not specified in init_logger
update_logger(log, P = matrix(runif(10), ncol = 2L), C = "a", f = runif(10), iter = 1, div = letters[1:3])
update_logger(log, P = matrix(runif(10), ncol = 2L), C = "b", f = runif(10), iter = 2, div = letters[1:3])
update_logger(log, P = matrix(runif(10), ncol = 2L), C = "a", f = runif(10), iter = 3, div = letters[1:3])
print(log$df)