multiple_sampling_generator: Generator function for multiple inputs

In dongminjung/DeepPINCS: Protein Interactions and Networks with Compounds based on Sequences using Deep Learning

Description

This is a generator function that yields batches of data with multiple inputs.

Usage

multiple_sampling_generator(X_data, Y_data = NULL, batch_size,
    shuffle = TRUE)

Arguments

X_data	list of multiple inputs
Y_data	targets (default: NULL)
batch_size	batch size
shuffle	whether to shuffle the data or not (default: TRUE)

Value

generator for "keras::fit_generator" or "keras::predict_genertor"

Author(s)

Dongmin Jung

Examples

X_data <- c(list(matrix(rnorm(200), ncol = 2)),
    list(matrix(rnorm(200), ncol = 2)))
Y_data <- matrix(rnorm(100), ncol = 1)
multiple_sampling_generator(X_data, Y_data, 32)

dongminjung/DeepPINCS documentation built on Dec. 20, 2021, 12:13 a.m.