tell_dY | R Documentation |
ask&tell component function to 'tell' objective function value to waiting 'ask_Y' call in another R session.
tell_dY( dy, id = 0, dY.tmp = "dY.done", tmp_path = file.path(tempdir(), "..", "asktell.tmp"), trace = function(...) cat(paste0(..., "\n")), force_cleanup = FALSE )
dy |
output value of objective function gradient to return |
id |
unique identifier for this asktell loop (default: "0") |
dY.tmp |
temporary "Y" values file (default: "dY.done") |
tmp_path |
temporary directory to store X.tmp & Y.tmp (default: 'tempdir()/../asktell.tmp') |
trace |
function to display asktell loop status (default : 'cat') |
force_cleanup |
should we cleanup temporary files before writing (possible conflicting asktell calls) ? (default: FALSE) |
'ask&tell' injection loop to call an external objective function within an inline algorithm (like optim(...)) Main idea: pass 'ask_Y' as objectve function argument of algorithm, which will wait until you call 'tell_Y' in another R process. In this secondary process, you can read what X is called using 'ask_X', and when you know what values returns from the external objective, just call 'tell_Y' to give it.
input value of objective function to compute externally
Y. Richet, discussions with D. Sinoquet. Async IO principle was defined by G. Pujol.
## Not run: ### Assumes you can use two independent R sessions ## In main R session ask_dY(x=123) ## In another R session ask_dX() # returns c(123, 123.123) tell_dY(dy=c(456,456.123)) ## Then ask_dY in main R session returns with value '1' ## End(Not run)
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