SYMBOL INDEX (74 symbols across 11 files)

FILE: batch_helper.py
  class BatchManager (line 8) | class BatchManager(object):
    method __init__ (line 10) | def __init__(self, data,  batch_size):
    method sort_and_pad (line 14) | def sort_and_pad(self, data, batch_size):
    method pad_data (line 34) | def pad_data(data):
    method iter_batch (line 67) | def iter_batch(self, shuffle=True):

FILE: conlleval.py
  class FormatError (line 20) | class FormatError(Exception):
  class EvalCounts (line 26) | class EvalCounts(object):
    method __init__ (line 27) | def __init__(self):
  function parse_args (line 40) | def parse_args(argv):
  function parse_tag (line 57) | def parse_tag(t):
  function evaluate (line 62) | def evaluate(iterable, options=None):
  function uniq (line 144) | def uniq(iterable):
  function calculate_metrics (line 149) | def calculate_metrics(correct, guessed, total):
  function metrics (line 157) | def metrics(counts):
  function report (line 170) | def report(counts, out=None):
  function report_notprint (line 196) | def report_notprint(counts, out=None):
  function end_of_chunk (line 230) | def end_of_chunk(prev_tag, tag, prev_type, type_):
  function start_of_chunk (line 255) | def start_of_chunk(prev_tag, tag, prev_type, type_):
  function return_report (line 280) | def return_report(input_file):
  function main (line 286) | def main(argv):

FILE: data_loader.py
  function build_dataset (line 15) | def build_dataset():
  function load_sentences (line 76) | def load_sentences(path, lower, zero):
  function update_tag_scheme (line 113) | def update_tag_scheme(sentences, tag_scheme):
  function create_maps (line 142) | def create_maps(sentences):
  function prepare_dataset (line 170) | def prepare_dataset(sentences, char_to_id, tag_to_id, lower=False, test=...
  function load_emb_matrix (line 205) | def load_emb_matrix(vocab):
  function load_w2v (line 224) | def load_w2v(path):

FILE: data_utils.py
  function create_dico (line 11) | def create_dico(item_list):
  function create_mapping (line 26) | def create_mapping(dico):
  function zero_digits (line 36) | def zero_digits(s):
  function iob (line 43) | def iob(tags):
  function iob_iobes (line 60) | def iob_iobes(tags):
  function iobes_iob (line 84) | def iobes_iob(tags):
  function char_mapping (line 104) | def char_mapping(sentences, lower):
  function tag_mapping (line 119) | def tag_mapping(sentences):
  function augment_with_pretrained (line 144) | def augment_with_pretrained(dictionary, ext_emb_path):
  function get_seg_features (line 166) | def get_seg_features(string):
  function test_ner (line 186) | def test_ner(results, path):
  function result_to_json (line 205) | def result_to_json(string, tags):

FILE: logs/logger.py
  function get_logger (line 10) | def get_logger(log_file):
  function print_config (line 29) | def print_config(config_dic, logger):

FILE: main.py
  function get_time_dif (line 25) | def get_time_dif(start_time):
  function train (line 30) | def train():
  function evaluate_helper (line 113) | def evaluate_helper(model, data_manager, id_to_tag):
  function evaluate (line 150) | def evaluate(model, data, id_to_tag, test=False):
  function predict (line 169) | def predict(input_str):

FILE: model/LSTM_CRF.py
  class NERLSTM_CRF (line 6) | class NERLSTM_CRF(nn.Module):
    method __init__ (line 7) | def __init__(self, config, char2id, tag2id, emb_matrix):
    method forward (line 36) | def forward(self, char_ids,seg_ids,mask=None):
    method log_likelihood (line 50) | def log_likelihood(self, char_ids, seg_ids, tag_ids, mask=None):

FILE: model/torchcrf.py
  class CRF (line 10) | class CRF(nn.Module):
    method __init__ (line 39) | def __init__(self, num_tags: int, batch_first: bool = False) -> None:
    method reset_parameters (line 51) | def reset_parameters(self) -> None:
    method __repr__ (line 61) | def __repr__(self) -> str:
    method forward (line 64) | def forward(
    method decode (line 118) | def decode(self, emissions: torch.Tensor,
    method _validate (line 142) | def _validate(
    method _compute_score (line 170) | def _compute_score(
    method _compute_normalizer (line 209) | def _compute_normalizer(
    method _viterbi_decode (line 260) | def _viterbi_decode(self, emissions: torch.FloatTensor,

FILE: params.py
  function set_manual_seed (line 10) | def set_manual_seed(seed):
  function str2bool (line 20) | def str2bool(str):
  function params (line 23) | def params():

FILE: prepare_data/gen_data.py
  function add_entity (line 19) | def add_entity(dict_path):
  function split_dataset (line 37) | def split_dataset():
  function sentence_seg (line 58) | def sentence_seg(sentence,mode="jieba"):
  function auto_label (line 68) | def auto_label(files, data_type, mode="jieba"):
  function main (line 118) | def main():

FILE: prepare_data/max_seg.py
  class PsegMax (line 4) | class PsegMax:
    method __init__ (line 5) | def __init__(self, dict_path):
    method load_entity (line 8) | def load_entity(self, dict_path):
    method max_forward_seg (line 27) | def max_forward_seg(self, sent):
    method max_backward_seg (line 70) | def max_backward_seg(self, sent):
    method max_biward_seg (line 115) | def max_biward_seg(self, sent):