getSimpleKerasModel: getSimpleKerasModel

In SPOTMisc: Misc Extensions for the 'SPOT' Package

getSimpleKerasModel

Description

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

Usage

getSimpleKerasModel(specList, kerasConf = getKerasConf())

Arguments

specList	spec
kerasConf	keras configuration. Default: return value from getKerasConf.

Value

model. Fitted keras model

Examples

### 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)
}

SPOTMisc documentation built on Sept. 5, 2022, 5:06 p.m.