create_synthetic_units {aifeducation} | R Documentation |
Create synthetic units
Description
Function for creating synthetic cases in order to balance the data for training with TextEmbeddingClassifierNeuralNet. This is an auxiliary function for use with get_synthetic_cases to allow parallel computations.
Usage
create_synthetic_units(embedding, target, k, max_k, method, cat, cat_freq)
Arguments
embedding |
Named |
target |
Named |
k |
|
max_k |
|
method |
|
cat |
|
cat_freq |
Object of class |
Value
Returns a list
which contains the text embeddings of the
new synthetic cases as a named data.frame
and their labels as a named
factor
.
See Also
Other Auxiliary Functions:
array_to_matrix()
,
calc_standard_classification_measures()
,
check_embedding_models()
,
clean_pytorch_log_transformers()
,
create_iota2_mean_object()
,
generate_id()
,
get_coder_metrics()
,
get_folds()
,
get_n_chunks()
,
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()