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deepregression (version 2.2.0)

simplyconnected_layer_torch: Hadamard-type layers torch

Description

Hadamard-type layers torch

Usage

simplyconnected_layer_torch(
  la = la,
  multfac_initializer = torch_ones,
  input_shape
)
tiblinlasso_layer_torch(
  la,
  input_shape = 1,
  units = 1,
  kernel_initializer = "he_normal"
)
tib_layer_torch(units, la, input_shape, multfac_initializer = torch_ones)
tibgroup_layer_torch(
  units,
  group_idx = NULL,
  la = 0,
  input_shape,
  kernel_initializer = "torch_ones",
  multfac_initializer = "he_normal"
)

Value

nn_module

torch layer object

nn_module

nn_module

Arguments

la

numeric; regularization value (> 0)

multfac_initializer

initializer for parameters

input_shape

integer; number of input dimension

units

integer; number of units

kernel_initializer

initializer

group_idx

list of group indices