SPOTMisc (version 1.19.52)

getSimpleKerasModel: getSimpleKerasModel

Description

build, compile, and train a simple model (for testing)

Usage

getSimpleKerasModel(specList, kerasConf = getKerasConf())

Value

model. Fitted keras model

Arguments

specList

spec

kerasConf

keras configuration. Default: return value from getKerasConf.

Examples

# \donttest{
### These examples require an activated Python environment as described in
### Bartz-Beielstein, T., Rehbach, F., Sen, A., and Zaefferer, M.:
### Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT,
### June 2021. http://arxiv.org/abs/2105.14625.
PYTHON_RETICULATE <- FALSE
if(PYTHON_RETICULATE){
target <- "age"
nobs <- 1000
batch_size <- 32
prop <- 2/3
dfCensus <- getDataCensus(target = target,
nobs = nobs)
data <- getGenericTrainValTestData(dfGeneric = dfCensus,
prop = prop)
specList <- genericDataPrep(data=data, batch_size = batch_size)
kerasConf <- getKerasConf()
simpleModel <- getSimpleKerasModel(specList = specList,
               kerasConf = kerasConf)
}
# }