ChangeBootAlpha function

Change significance of boot SensMLP Class

For a SensMLP Class object, change the significance level of the statistical tests

ChangeBootAlpha(x, boot.alpha)

Arguments

• x: SensMLP object created by SensAnalysisMLP
• boot.alpha: float significance level

Returns

SensMLP object with changed significance level. All boot related metrics are changed

Examples

## Load data -------------------------------------------------------------------
data("DAILY_DEMAND_TR")
fdata <- DAILY_DEMAND_TR

## Parameters of the NNET ------------------------------------------------------
hidden_neurons <- 5
iters <- 250
decay <- 0.1

################################################################################
#########################  REGRESSION NNET #####################################
################################################################################
## Regression dataframe --------------------------------------------------------
# Scale the data
fdata.Reg.tr <- fdata[,2:ncol(fdata)]
fdata.Reg.tr[,3] <- fdata.Reg.tr[,3]/10
fdata.Reg.tr[,1] <- fdata.Reg.tr[,1]/1000

## TRAIN nnet NNET --------------------------------------------------------

set.seed(150)
nnetmod <- caret::train(DEM ~ .,
                 data = fdata.Reg.tr,
                 method = "nnet",
                 tuneGrid = expand.grid(size = c(1), decay = c(0.01)),
                 trControl = caret::trainControl(method="none"),
                 preProcess = c('center', 'scale'),
                 linout = FALSE,
                 trace = FALSE,
                 maxit = 300)
# Try SensAnalysisMLP
sens <- NeuralSens::SensAnalysisMLP(nnetmod, trData = fdata.Reg.tr,
                                    plot = FALSE, boot.R=2, output_name='DEM')
NeuralSens::ChangeBootAlpha(sens, boot.alpha=0.1)