| pad_sequences | R Documentation | 
This function transforms a list (of length num_samples)
of sequences (lists of integers)
into a 2D NumPy array of shape (num_samples, num_timesteps).
num_timesteps is either the maxlen argument if provided,
or the length of the longest sequence in the list.
Sequences that are shorter than num_timesteps
are padded with value until they are num_timesteps long.
Sequences longer than num_timesteps are truncated
so that they fit the desired length.
The position where padding or truncation happens is determined by
the arguments padding and truncating, respectively.
Pre-padding or removing values from the beginning of the sequence is the
default.
sequence <- list(c(1), c(2, 3), c(4, 5, 6)) pad_sequences(sequence)
## [,1] [,2] [,3] ## [1,] 0 0 1 ## [2,] 0 2 3 ## [3,] 4 5 6
pad_sequences(sequence, value=-1)
## [,1] [,2] [,3] ## [1,] -1 -1 1 ## [2,] -1 2 3 ## [3,] 4 5 6
pad_sequences(sequence, padding='post')
## [,1] [,2] [,3] ## [1,] 1 0 0 ## [2,] 2 3 0 ## [3,] 4 5 6
pad_sequences(sequence, maxlen=2)
## [,1] [,2] ## [1,] 0 1 ## [2,] 2 3 ## [3,] 5 6
pad_sequences(
  sequences,
  maxlen = NULL,
  dtype = "int32",
  padding = "pre",
  truncating = "pre",
  value = 0
)
| sequences | List of sequences (each sequence is a list of integers). | 
| maxlen | Optional Int, maximum length of all sequences. If not provided, sequences will be padded to the length of the longest individual sequence. | 
| dtype | (Optional, defaults to  | 
| padding | String, "pre" or "post" (optional, defaults to  | 
| truncating | String, "pre" or "post" (optional, defaults to  | 
| value | Float or String, padding value. (Optional, defaults to  | 
Array with shape (len(sequences), maxlen)
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() 
set_random_seed() 
split_dataset() 
text_dataset_from_directory() 
timeseries_dataset_from_array() 
to_categorical() 
zip_lists() 
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