make_generator: creates a generator for training

In davidruegamer/deepregression: Fitting Deep Distributional Regression

creates a generator for training

Description

creates a generator for training

Usage

make_generator(
  data_image,
  data_tab,
  batch_size,
  target_size,
  color_mode,
  is_trafo = FALSE,
  x_col,
  shuffle = TRUE,
  seed = 42L
)

Arguments

data_image	data.frame with image location as character
data_tab	tabular data as given by prepare_data
batch_size	integer
target_size	size of the image without sample and colour channel
color_mode	character; 'rgb' or 'grayscale'
is_trafo	logical; indicating whether model is a trafo model
x_col	name of image column in data_image
shuffle	logical for shuffling data
seed	seed for shuffling in generators

davidruegamer/deepregression documentation built on May 30, 2022, 6:21 p.m.