Index

A

add_padding_tokens() (in module belt_nlp.splitting)

add_special_tokens_at_beginning_and_end() (in module belt_nlp.splitting)

B

belt_nlp module belt_nlp.bert module belt_nlp.bert_truncated module belt_nlp.bert_with_pooling module belt_nlp.exceptions module

belt_nlp.splitting module belt_nlp.tensor_utils module BertClassifier (class in belt_nlp.bert) BertClassifierNN (class in belt_nlp.bert) BertClassifierTruncated (class in belt_nlp.bert_truncated) BertClassifierWithPooling (class in belt_nlp.bert_with_pooling)

C

check_split_parameters_consistency() (in module belt_nlp.splitting)

collate_fn_pooled_tokens() (belt_nlp.bert_with_pooling.BertClassifierWithPooling static method)

F

fit() (belt_nlp.bert.BertClassifier method)

forward() (belt_nlp.bert.BertClassifierNN method)

I

InconsistentSplittingParamsException

L

list_of_tensors_deep_equal() (in module belt_nlp.tensor_utils)

load() (belt_nlp.bert.BertClassifier class method)

M

module belt_nlp belt_nlp.bert belt_nlp.bert_truncated belt_nlp.bert_with_pooling belt_nlp.exceptions belt_nlp.splitting belt_nlp.tensor_utils

P

predict() (belt_nlp.bert.BertClassifier method)

predict_classes() (belt_nlp.bert.BertClassifier method) predict_scores() (belt_nlp.bert.BertClassifier method)

S

save() (belt_nlp.bert.BertClassifier method) split_overlapping() (in module belt_nlp.splitting)

split_tokens_into_smaller_chunks() (in module belt_nlp.splitting) stack_tokens_from_all_chunks() (in module belt_nlp.splitting)

T

tokenize_text_with_truncation() (in module belt_nlp.splitting) tokenize_whole_text() (in module belt_nlp.splitting)

TokenizedDataset (class in belt_nlp.bert) transform_list_of_texts() (in module belt_nlp.splitting) transform_single_text() (in module belt_nlp.splitting)