README.md

In pday2/mlrMBO_mP: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions

mlrMBO_mP

Usage:

start from ps and constrain power to one value

cs <- modifyParam(ps, id="power", lower = 444, upper = 444)

prop = suppressWarnings({proposePoints(opt.state, cs)})

start from cs and constrain gas to Air

cs2 <- modifyParam(ps, cs, id="gas", lower = "Air")

prop = suppressWarnings({proposePoints(opt.state, cs2)})

start from ps again and constrain pressure to a range

cs <- modifyParam(ps, id="pressure", lower = 55, upper = 88)

prop = suppressWarnings({proposePoints(opt.state, cs)})

pday2/mlrMBO_mP documentation built on July 21, 2020, 12:16 a.m.