SYMBOL INDEX (57 symbols across 1 files)

FILE: nlp_zero.py
  function log (line 33) | def log(x):
  class Trie (line 40) | class Trie:
    method __init__ (line 46) | def __init__(self, path_or_trie=None):
    method __setitem__ (line 63) | def __setitem__(self, item, count):
    method __getitem__ (line 82) | def __getitem__(self, item):  # 获取指定词的频率，不存在则返回0
    method __delitem__ (line 91) | def __delitem__(self, item):  # 删除某个词
    method __iter__ (line 103) | def __iter__(self, _=None):  # 以(词, 词频)的形式逐一返回所有记录
    method __str__ (line 114) | def __str__(self):  # 方便调试的显示
    method __repr__ (line 118) | def __repr__(self):
    method search (line 121) | def search(self, sent):  # 返回字符串中所有能找到的词语
    method update (line 135) | def update(self, tire):  # 用一个词典更新当前trie树
    method get_proba (line 139) | def get_proba(self, w, logit=True):  # 算词频
  class DAG (line 147) | class DAG:
    method __init__ (line 153) | def __init__(self, nb_node, null_score=-100):
    method __setitem__ (line 158) | def __setitem__(self, start_end, score):  # 构建图上的加权边
    method optimal_path (line 164) | def optimal_path(self):
    method _all_paths (line 192) | def _all_paths(self, n):  # all_paths的辅助函数，递归获取从n开始的所有路径
    method all_paths (line 202) | def all_paths(self):  # 返回所有连通路径（包括孤立节点）
  class Tokenizer (line 213) | class Tokenizer:
    method __init__ (line 218) | def __init__(self, word_trie=None):
    method simple_tokenize (line 226) | def simple_tokenize(self, sent):  # 利用动态规划完成分词的基本函数
    method combine_Aa123 (line 236) | def combine_Aa123(self, simple_result):  # 将连续的字母或者数字合并
    method tokenize (line 256) | def tokenize(self, sent, combine_Aa123=True):
  class Word_Finder (line 275) | class Word_Finder:
    method __init__ (line 282) | def __init__(self, min_proba=1e-7, min_pmi=1):
    method texts (line 289) | def texts(self, sents, filtering=True):
    method train (line 297) | def train(self, sents, filtering=True, remove_weak_pairs=True):
    method find (line 315) | def find(self, sents, filtering=True, remove_weak_pairs=True):
    method export_trie (line 388) | def export_trie(self):
    method export_tokenizer (line 391) | def export_tokenizer(self):
  class Template (line 395) | class Template:
    method __init__ (line 399) | def __init__(self, container=None):
    method add (line 407) | def add(self, value):
    method is_trivial (line 415) | def is_trivial(self):
    method __iter__ (line 421) | def __iter__(self):
    method __hash__ (line 425) | def __hash__(self):
    method __eq__ (line 428) | def __eq__(self, t):
    method __str__ (line 431) | def __str__(self):
    method __repr__ (line 440) | def __repr__(self):
  class Template_Finder (line 444) | class Template_Finder:
    method __init__ (line 448) | def __init__(self, tokenize, window=5, min_proba=1e-5, min_pmi=2):
    method texts (line 457) | def texts(self, sents, filtering=True):
    method train (line 471) | def train(self, sents, filtering=True):
    method find (line 489) | def find(self, sents, filtering=True, remove_weak_grams=True):
  class XTrie (line 556) | class XTrie(Trie):
    method search (line 561) | def search(self, sent):
    method _search (line 571) | def _search(
  class SentTree (line 632) | class SentTree:
    method __init__ (line 637) | def __init__(self, parsing, words, start, end):
    method plot (line 656) | def plot(self, prefix='+---> '):  # 可视化函数
    method __str__ (line 671) | def __str__(self):
    method __repr__ (line 677) | def __repr__(self):
  class Parser (line 681) | class Parser:
    method __init__ (line 688) | def __init__(self, templates, tokenize, null_score=-20):
    method max (line 693) | def max(self, x):  # 自定义最大值函数
    method parse (line 699) | def parse(self, sent):
    method _parse (line 705) | def _parse(self, span, matches):