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Constructor of the HessMLP Class

Source: R/HessMLP.R
HessMLP.Rd

Create an object of HessMLP class

Usage

HessMLP(
  sens = list(),
  raw_sens = list(),
  mlp_struct = numeric(),
  trData = data.frame(),
  coefnames = character(),
  output_name = character()
)

Arguments

sens

list of sensitivity measures, one list per output neuron

raw_sens

list of sensitivities, one array per output neuron

mlp_struct

numeric vector describing the structur of the MLP model

trData

data.frame with the data used to calculate the sensitivities

coefnames

character vector with the name of the predictor(s)

output_name

character vector with the name of the output(s)

Value

HessMLP object