get_train_test_split {aifeducation} | R Documentation |
This function creates a train and validation sample based on stratified random sampling. The relative frequencies of each category in the train and validation sample equal the relative frequencies of the initial data (proportional stratified sampling).
get_train_test_split(embedding = NULL, target, val_size)
embedding |
Object of class EmbeddedText. |
target |
Named |
val_size |
|
Returns a list
with the following components.
target_train:
Named factor
containing the labels of the training sample.
embeddings_train:
Object of class EmbeddedText containing the text embeddings for the training sample
target_test:
Named factor
containing the labels of the validation sample.
embeddings_test:
Object of class EmbeddedText containing the text embeddings for the validation sample
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_n_chunks()
,
get_stratified_train_test_split()
,
get_synthetic_cases()
,
is.null_or_na()
,
matrix_to_array_c()
,
split_labeled_unlabeled()
,
summarize_tracked_sustainability()
,
to_categorical_c()