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Using the Tuner Description We showcase how to use the tuning capabilities with a default or custom tuner method. Further explanation of this example: Conversion of a similar Python example
Source Files By clicking on a file name, a preview is opened at the bottom of this page.
Data Files tuner.R ##################################### # This file is part of the # # Xpress-R interface examples # # # # (c) 2022-2024 Fair Isaac Corporation # ##################################### #' --- #' title: "Tuner Example" #' author: "Gregor Hendel" #' date: "12/10/2021" #' output: html_document #' --- #' ## ----setup, include=FALSE----------------------------------------------------- knitr::opts_chunk$set(echo = TRUE) library(xpress) #' #' #' Create a file default-MIP.xtm with the tuner options that are tested by default by #' the tuner. The file has the following format: a #' section with controls that are applied to each tuner run #' (`FIXED-CONTROLS`) and a set of controls that are tested #' independently by the tuner (`TUNABLE-CONTROLS`). Tunable controls #' have each one or more value that the tuner will test, first #' independently and then in combination with others. #' #' ``` #' FIXED-CONTROLS #' OUTPUTLOG = 1 #' XSLP_POSTSOLVE = 1 #' TUNABLE-CONTROLS #' BRANCHDISJ = 0 #' COVERCUTS = 0, 2, 20 #' CUTFACTOR = 0.5, 1, 5 #' CUTFREQ = 2 #' ... #' ``` #' and others. The file is written AFTER reading in the problem in order for the #' optimizer to recognize that it is a MIP. #' ## ----Setup Tuner-------------------------------------------------------------- prob <- createprob() setoutput(prob) readprob(prob, "Data/miplib-rndinst.mps.gz") tunerwritemethod(prob, "default-MIP.xtm") setintcontrol(prob, xpress:::TUNERMAXTIME, 100) setintcontrol(prob, xpress:::MAXTIME, -10) #' #' Tune the optimizer on the problem ## ----------------------------------------------------------------------------- tune(prob) #' #' Now try tuning on a different tuner method: the file mymethod.xtm contains slightly #' different combination of controls and values, and the tuner will test different #' combinations this way. Note that the output will show that the Optimizer finds old #' tuner runs and will use the relative information. #' ## ----------------------------------------------------------------------------- tunerreadmethod(prob, 'Data/mymethod.xtm') tune(prob) #' #' For the final problem solve, we increase the time limit ## ----------------------------------------------------------------------------- setintcontrol(prob, xpress:::MAXTIME, -1000) summary(xprs_optimize(prob)) #' #' | |||||||||||
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