SYMBOL INDEX (38 symbols across 8 files)

FILE: SequenceTagger.py
  class BertForSequenceTagging (line 5) | class BertForSequenceTagging(BertPreTrainedModel):
    method __init__ (line 6) | def __init__(self, config):
    method forward (line 16) | def forward(self, input_data, token_type_ids=None, attention_mask=None...

FILE: build_dataset_tags.py
  function load_dataset (line 10) | def load_dataset(path_dataset):
  function save_dataset (line 40) | def save_dataset(dataset, save_dir):
  function build_tags (line 60) | def build_tags(data_dir, tags_file):

FILE: data_loader.py
  class DataLoader (line 9) | class DataLoader(object):
    method __init__ (line 10) | def __init__(self, data_dir, bert_class, params, token_pad_idx=0, tag_...
    method load_tags (line 28) | def load_tags(self):
    method load_sentences_tags (line 36) | def load_sentences_tags(self, sentences_file, tags_file, d):
    method load_data (line 70) | def load_data(self, data_type):
    method data_iterator (line 92) | def data_iterator(self, data, shuffle=False):

FILE: evaluate.py
  function evaluate (line 21) | def evaluate(model, data_iterator, params, mark='Eval', verbose=False):
  function interAct (line 65) | def interAct(model, data_iterator, params, mark='Interactive', verbose=F...

FILE: interactive.py
  function interAct (line 20) | def interAct(model, data_iterator, params, mark='Interactive', verbose=F...
  function bert_ner_init (line 38) | def bert_ner_init():
  function BertNerResponse (line 76) | def BertNerResponse(model, queryString):
  function main (line 99) | def main():

FILE: metrics.py
  function get_entities (line 16) | def get_entities(seq, suffix=False):
  function end_of_chunk (line 56) | def end_of_chunk(prev_tag, tag, prev_type, type_):
  function start_of_chunk (line 86) | def start_of_chunk(prev_tag, tag, prev_type, type_):
  function f1_score (line 116) | def f1_score(y_true, y_pred, average='micro', digits=2, suffix=False):
  function accuracy_score (line 154) | def accuracy_score(y_true, y_pred):
  function classification_report (line 187) | def classification_report(y_true, y_pred, digits=2, suffix=False):

FILE: train.py
  function train_epoch (line 26) | def train_epoch(model, data_iterator, optimizer, scheduler, params):
  function train_and_evaluate (line 60) | def train_and_evaluate(model, train_data, val_data, optimizer, scheduler...

FILE: utils.py
  class Params (line 9) | class Params():
    method __init__ (line 20) | def __init__(self, json_path):
    method save (line 25) | def save(self, json_path):
    method update (line 29) | def update(self, json_path):
    method dict (line 36) | def dict(self):
  class RunningAverage (line 41) | class RunningAverage():
    method __init__ (line 53) | def __init__(self):
    method update (line 57) | def update(self, val):
    method __call__ (line 61) | def __call__(self):
  function set_logger (line 65) | def set_logger(log_path):
  function save_checkpoint (line 93) | def save_checkpoint(state, is_best, checkpoint):
  function load_checkpoint (line 110) | def load_checkpoint(checkpoint, model, optimizer=None):