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我試圖在一個熊貓類中實現Peter Norvig's spell checker,這個類包含從SQL數據庫中提取的單詞。數據包含用戶查詢,其中經常包含一些拼寫錯誤,我希望這個類將返回最有可能的查詢(拼寫正確)。熊貓中的拼寫檢查程序
該類使用返回熊貓數據框的數據庫查詢進行初始化。例如:
query count
0 foo bar 1864
1 super foo 73
2 bar of foos 1629
3 crazy foos 940
大部分低於直接從彼得的工作拉昇,但我似乎已經對類所做的修改就不能正常工作。我的猜測是,這與刪除計數器功能有關(WORDS = Counter(words(open('big.txt').read()))
),但我不確定從數據框中獲取相同功能的最佳方式。
低於當前等級:
class _SpellCheckClient(object):
"""Wraps functionality to check the spelling of a query."""
def __init__(self, team, table, dremel_connection):
self.df = database_connection.ExecuteQuery(
'SELECT query, COUNT(query) AS count FROM table GROUP BY 1;'
def expected_word(self, word):
"""Most probable spelling correction for word."""
return max(self._candidates(word), key=self._probability)
def _probability(self, query):
"""Probability of a given word within a query."""
query_count = self.df.loc[self.df['query'] == query]['count'].values
return query_count/self.df['count'].sum()
def _candidates(self, word):
"""Generate possible spelling corrections for word."""
return (self._known([word])
or self._known(self._one_edits_from_word(word))
or self._known(self._two_edits_from_word(word))
or [word])
def _known(self, query):
"""The subset of `words` that appear in the dictionary of WORDS."""
# return set(w for w in query if w in WORDS)
return set(w for w in query if w in self.df['query'].value_counts)
def _one_edits_from_word(self, word):
"""All edits that are one edit away from `word`."""
splits = [(word[:i], word[i:]) for i in xrange(len(word) + 1)]
deletes = [left + right[1:] for left, right in splits if right]
transposes = [left + right[1] + right[0] + right[2:]
for left, right in splits
if len(right) > 1]
replaces = [left + center + right[1:]
for left, right in splits
if right for center in LETTERS]
inserts = [left + center + right
for left, right in splits
for center in LETTERS]
return set(deletes + transposes + replaces + inserts)
def _two_edits_from_word(self, word):
"""All edits that are two edits away from `word`."""
return (e2 for e1 in self._one_edits_from_word(word)
for e2 in self._one_edits_from_word(e1))
提前感謝!