reg_mlp {daltoolbox}

MLP for regression

Description

Creates a regression object that uses the Multi-Layer Perceptron (MLP) method. It wraps the nnet library.

Usage

reg_mlp(attribute, size = NULL, decay = 0.05, maxit = 1000)

Arguments

attribute

attribute target to model building

size

number of neurons in hidden layers

decay

decay learning rate

maxit

number of maximum iterations for training

Value

obj

Examples

data(Boston)
model <- reg_mlp("medv", size=5, decay=0.54)

# preparing dataset for random sampling
sr <- sample_random()
sr <- train_test(sr, Boston)
train <- sr$train
test <- sr$test

model <- fit(model, train)

test_prediction <- predict(model, test)
test_predictand <- test[,"medv"]
test_eval <- evaluate(model, test_predictand, test_prediction)
test_eval$metrics