generator_dummy: Random data generator

In GenomeNet/deepG: Deep Learning for Genome Sequence Data

Random data generator

Description

Creates a random input/target list once and repeatedly returns list.

Usage

generator_dummy(model, batch_size)

Arguments

model	A keras model.
batch_size	Number of samples in one batch.

Value

A generator function.

Examples

model <- create_model_lstm_cnn(
  maxlen = 10,
  layer_lstm = c(4),
  layer_dense = c(5))
gen <- generator_dummy(model, 12)
z <- gen()
x <- z[[1]]
y <- z[[2]]
dim(x)
dim(y)

GenomeNet/deepG documentation built on Dec. 24, 2024, 12:11 p.m.