tdmDispatchTuner: Helper function for 'tdmBigLoop'.

Description Usage Arguments Value Note Author(s) See Also

View source: R/tdmDispatchTuner.r

Description

tdmDispatchTuner selects and starts the tuner specified by tuneMethod.
See the 'Details' section of tdmBigLoop for a list of available tuners.

Usage

1
tdmDispatchTuner(tuneMethod, confFile, spotStep, tdm, envT, dataObj)

Arguments

tuneMethod

the tuning algorithm given as a string. Possible values are { "spot" | "lhd" | "cmaes" | "cma_j" | "bfgs" }.

confFile

the configuration name.

spotStep

–DEPRECATED– SPOT 2.0 supports only spotStep="auto".

tdm

the TDMR object

envT

the environment variable

dataObj

the TDMdata object containing the data set (train/vali part and test part)

Value

The result tunerVal of the tuning algorithm, this is the list envT$spotConfig, extended by

alg.currentResult

the RES data frame

alg.currentBest

the BST data frame

...

[optional] further results from the tuning algorithm tuneMethod

Note

Side effects: Environment envT is extended by

Author(s)

Wolfgang Konen, THK, 2018

See Also

tdmBigLoop


TDMR documentation built on March 3, 2020, 1:06 a.m.