SYMBOL INDEX (28 symbols across 3 files)

FILE: models/bert_classifier.py
  class BertClassifier (line 27) | class BertClassifier(LabelStudioMLBase):
    method __init__ (line 29) | def __init__(
    method reset_model (line 66) | def reset_model(self, pretrained_model, cache_dir, device):
    method load (line 77) | def load(self, train_output):
    method not_trained (line 88) | def not_trained(self):
    method predict (line 91) | def predict(self, tasks, **kwargs):
    method fit (line 130) | def fit(self, completions, workdir=None, cache_dir=None, **kwargs):

FILE: models/ner.py
  class SpanLabeledTextDataset (line 45) | class SpanLabeledTextDataset(Dataset):
    method __init__ (line 47) | def __init__(
    method get_params_dict (line 90) | def get_params_dict(self):
    method dump (line 103) | def dump(self, output_file):
    method _convert_to_features (line 110) | def _convert_to_features(self, words, labels, label_map, list_token_st...
    method _apply_tokenizer (line 174) | def _apply_tokenizer(self, original_tokens, original_tags):
    method _prepare_data (line 188) | def _prepare_data(self):
    method __len__ (line 259) | def __len__(self):
    method __getitem__ (line 262) | def __getitem__(self, idx):
    method num_labels (line 272) | def num_labels(self):
    method pad_sequences (line 276) | def pad_sequences(cls, batch, mask_padding_with_zero, pad_on_left, pad...
    method get_padding_function (line 317) | def get_padding_function(cls, model_type, tokenizer, pad_token_label_id):
  class TransformersBasedTagger (line 328) | class TransformersBasedTagger(LabelStudioMLBase):
    method __init__ (line 330) | def __init__(self, **kwargs):
    method load (line 349) | def load(self, train_output):
    method predict (line 366) | def predict(self, tasks, **kwargs):
    method get_spans (line 438) | def get_spans(self, completion):
    method fit (line 457) | def fit(

FILE: models/utils.py
  function pad_sequences (line 7) | def pad_sequences(input_ids, maxlen):
  function prepare_texts (line 18) | def prepare_texts(texts, tokenizer, maxlen, sampler_class, batch_size, c...
  function calc_slope (line 39) | def calc_slope(y):