zip_lists: Zip lists

In rstudio/keras: R Interface to 'Keras'

Zip lists

Description

This is conceptually similar to zip() in Python, or R functions purrr::transpose() and data.table::transpose() (albeit, accepting elements in ... instead of a single list), with one crucial difference: if the provided objects are named, then matching is done by names, not positions.

Usage

zip_lists(...)

Arguments

...	R lists or atomic vectors, optionally named.

Details

All arguments supplied must be of the same length. If positional matching is required, then all arguments provided must be unnamed. If matching by names, then all arguments must have the same set of names, but they can be in different orders.

Value

A inverted list

See Also

Other data utils:
pack_x_y_sample_weight()
unpack_x_y_sample_weight()

Other utils:
audio_dataset_from_directory()
clear_session()
config_disable_interactive_logging()
config_disable_traceback_filtering()
config_enable_interactive_logging()
config_enable_traceback_filtering()
config_is_interactive_logging_enabled()
config_is_traceback_filtering_enabled()
get_file()
get_source_inputs()
image_array_save()
image_dataset_from_directory()
image_from_array()
image_load()
image_smart_resize()
image_to_array()
layer_feature_space()
normalize()
pack_x_y_sample_weight()
pad_sequences()
set_random_seed()
split_dataset()
text_dataset_from_directory()
timeseries_dataset_from_array()
to_categorical()
unpack_x_y_sample_weight()

Examples

gradients <- list("grad_for_wt_1", "grad_for_wt_2", "grad_for_wt_3")
weights <- list("weight_1", "weight_2", "weight_3")
str(zip_lists(gradients, weights))
str(zip_lists(gradient = gradients, weight = weights))

names(gradients) <- names(weights) <- paste0("layer_", 1:3)
str(zip_lists(gradients, weights[c(3, 1, 2)]))

names(gradients) <- paste0("gradient_", 1:3)
try(zip_lists(gradients, weights)) # error, names don't match
# call unname directly for positional matching
str(zip_lists(unname(gradients), unname(weights)))

rstudio/keras documentation built on April 27, 2024, 10:11 p.m.