todo-files/bench/mlr/defs.R
In mlr-org/mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
configureMlr(on.learner.error = "warn")
CV_FOLDS_OUTER = 5L
TUNE_BUDGET = 50L
# IRACE_INNER_SPLIT = 0.8
MBO_INIT_DES_SIZE = round(TUNE_BUDGET / 3)
MBO_ITERS = TUNE_BUDGET - MBO_INIT_DES_SIZE
# MBO_INIT_DES_SIZE = 20
# MBO_ITERS = 1
MBO_SURROGATE = "regr.randomForest"
MBO_SURROGATE_VALS = list(ntree = 10L)
MBO_INFILL_CRIT = "ei"
MBO_FOCUSSEARCH_RESTARTS = 2L
MBO_FOCUSSEARCH_ITERS = 2L
MBO_FOCUSSEARCH_POINTS = 500L
mlr-org/mlrMBO documentation built on Oct. 13, 2022, 2:39 p.m.
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configureMlr(on.learner.error = "warn")
CV_FOLDS_OUTER = 5L
TUNE_BUDGET = 50L
# IRACE_INNER_SPLIT = 0.8
MBO_INIT_DES_SIZE = round(TUNE_BUDGET / 3)
MBO_ITERS = TUNE_BUDGET - MBO_INIT_DES_SIZE
# MBO_INIT_DES_SIZE = 20
# MBO_ITERS = 1
MBO_SURROGATE = "regr.randomForest"
MBO_SURROGATE_VALS = list(ntree = 10L)
MBO_INFILL_CRIT = "ei"
MBO_FOCUSSEARCH_RESTARTS = 2L
MBO_FOCUSSEARCH_ITERS = 2L
MBO_FOCUSSEARCH_POINTS = 500L
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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