layer_spline: Function to define spline as TensorFlow layer

In deepregression: Fitting Deep Distributional Regression

Function to define spline as TensorFlow layer

Description

Function to define spline as TensorFlow layer

Usage

layer_spline(
  units = 1L,
  P,
  name,
  trainable = TRUE,
  kernel_initializer = "glorot_uniform"
)

Arguments

units	integer; number of output units
P	matrix; penalty matrix
name	string; string defining the layer's name
trainable	logical; whether layer is trainable
kernel_initializer	initializer; for basis coefficients

Value

TensorFlow layer

deepregression documentation built on Sept. 9, 2025, 5:27 p.m.