when I ran my own data set to decode it gives an error,
for tool in tools:
shuf = tool.decode(docs)
AttributeError Traceback (most recent call last)
in
1 for tool in tools:
----> 2 shuf = tool.decode(docs)
~/anaconda3/lib/python3.7/site-packages/elit/component/tagger/pos_tagger.py in decode(self, docs, **kwargs)
61 if isinstance(docs, Document):
62 docs = [docs]
---> 63 samples = NLPTaskDataFetcher.convert_elit_documents(docs)
64 with self.context:
65 sentences = self.tagger.predict(samples)
~/anaconda3/lib/python3.7/site-packages/elit/component/tagger/corpus.py in convert_elit_documents(docs)
1298 dataset = []
1299 for d in docs:
-> 1300 for s in d.sentences:
1301 sentence = Sentence()
1302
AttributeError: 'str' object has no attribute 'sentences
but it works fine for the example given is documentation!
Please help me to figure this out.
when I ran my own data set to decode it gives an error,
for tool in tools:
shuf = tool.decode(docs)
AttributeError Traceback (most recent call last)
in
1 for tool in tools:
----> 2 shuf = tool.decode(docs)
~/anaconda3/lib/python3.7/site-packages/elit/component/tagger/pos_tagger.py in decode(self, docs, **kwargs)
61 if isinstance(docs, Document):
62 docs = [docs]
---> 63 samples = NLPTaskDataFetcher.convert_elit_documents(docs)
64 with self.context:
65 sentences = self.tagger.predict(samples)
~/anaconda3/lib/python3.7/site-packages/elit/component/tagger/corpus.py in convert_elit_documents(docs)
1298 dataset = []
1299 for d in docs:
-> 1300 for s in d.sentences:
1301 sentence = Sentence()
1302
AttributeError: 'str' object has no attribute 'sentences
but it works fine for the example given is documentation!
Please help me to figure this out.