Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

build_keras_net

Build a Keras Multilayer Perceptron

Description

Utility function to build a Keras MLP.

Usage

build_keras_net(
  n_in,
  n_out,
  nodes = c(32L, 32L),
  layer_pars = list(),
  activation = "linear",
  act_pars = list(),
  dropout = 0.1,
  batch_norm = TRUE,
  batch_pars = list()
)

Arguments

n_in

(integer(1))
Number of input features.
n_out

(integer(1))
Number of targets.
nodes

(numeric())
Hidden nodes in network, each element in vector represents number of hidden nodes in respective layer.
layer_pars

(list())
Arguments passed to keras::layer_dense.
activation

(character(1))
Activation function passed to keras::layer_activation. Default is linear.
act_pars

(list())
Parameters for activation function, see keras::layer_activation.
dropout

(numeric(1))
Optional dropout layer, if NULL then no dropout layer added otherwise either same dropout will be added to all layers.
batch_norm

(logical(1))
If TRUE (default) then batch normalisation is applied to all layers.
batch_pars

(list())
Parameters for batch normalisation, see keras::layer_batch_normalization.

Details

This function is a helper for R users with less Python experience. Currently it is limited to simple MLPs and with identical layers. More advanced networks will require manual creation with keras.

Examples

if (requireNamespaces("keras")) {
  build_keras_net(4L, 2L)

  build_keras_net(n_in = 4L, n_out = 2L, nodes = c(32L, 64L, 32L),
    activation = "elu", dropout = 0.4)
}
survivalmodels

Models for Survival Analysis

v0.1.11
MIT + file LICENSE
Authors
Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>)
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.