get_n_chunks {aifeducation}

Get the number of chunks/sequences for each case

Description

Function for calculating the number of chunks/sequences for every case

Usage

get_n_chunks(text_embeddings, features, times)

Arguments

text_embeddings

data.frame or array containing the text embeddings.

features

int Number of features within each sequence.

times

int Number of sequences

Value

Namedvector of integers representing the number of chunks/sequences for every case.

See Also

Other Auxiliary Functions: array_to_matrix(), calc_standard_classification_measures(), check_embedding_models(), clean_pytorch_log_transformers(), create_iota2_mean_object(), create_synthetic_units(), generate_id(), get_coder_metrics(), get_folds(), get_stratified_train_test_split(), get_synthetic_cases(), get_train_test_split(), is.null_or_na(), matrix_to_array_c(), split_labeled_unlabeled(), summarize_tracked_sustainability(), to_categorical_c()

Examples

test_array<-array(data=c(1,1,1,0,0,0,0,0,0,
                        2,1,1,2,5,6,0,0,0,
                        1,2,5,6,1,2,0,4,2),
                        dim=c(3,3,3))
test_array
#test array has shape (batch,times,features) with
#times=3 and features=3

#Slices where all values are zero are padded.

get_n_chunks(text_embeddings=test_array,features=3,times=3)
#The length of case 1 is 1, case 2 is 3, and case 3 is 2.