hadamard_layers: Hadamard-type layers

In deepregression: Fitting Deep Distributional Regression

Hadamard-type layers

Description

Hadamard-type layers

Usage

tib_layer(units, la, ...)

simplyconnected_layer(la, ...)

inverse_group_lasso_pen(la)

regularizer_group_lasso(la, group_idx)

tibgroup_layer(units, group_idx, la, ...)

layer_hadamard(units = 1, la = 0, depth = 3, ...)

layer_group_hadamard(units, la, group_idx, depth, ...)

layer_hadamard_diff(
  units,
  la,
  initu = "glorot_uniform",
  initv = "glorot_uniform",
  ...
)

layer_hadamard(units = 1, la = 0, depth = 3, ...)

Arguments

units	integer; number of units
la	numeric; regularization value (> 0)
...	arguments passed to TensorFlow layer
group_idx	list of group indices
depth	integer; depth of weight factorization
initu, initv	initializers for parameters

Value

layer object

deepregression documentation built on Jan. 18, 2023, 1:11 a.m.