s4sarath
commented
8 years ago Put min_count = 1 , and try .
model = Word2Vec_Supervised(sentences, hs=0, workers=num_workers, size=num_features, min_count=min_word_count, window=context, sample=downsampling, label_dict=label_dict)
On Fri, Jun 10, 2016 at 2:07 PM, VuceWillis notifications@github.com wrote:
So, I was trying out an own implementation where I used the following label_dict: label_dict = {"good": ["pos_word"], "awesome": ["pos_word"], "great": ["pos_word"], "bad": ["neg_word"], "horrible": ["neg_word"], "terrible": ["neg_word"]}
Running: Set values for various parameters
num_features = 300 # Word vector dimensionality
min_word_count = 50 # Minimum word count
num_workers = 4 # Number of threads to run in parallel context = 8 # Context window size
downsampling = 1e-3 # Downsample setting for frequent words Initialize and train the model
model = Word2Vec_Supervised(sentences, hs=0, workers=num_workers, size=num_features, min_count=min_word_count, window=context, sample=downsampling, label_dict=label_dict)
Gave me the following KeyError: Exception in thread Thread-4: Traceback (most recent call last): File "/home/vuk/anaconda2/lib/python2.7/threading.py", line 801, in bootstrap_inner self.run() File "/home/vuk/anaconda2/lib/python2.7/threading.py", line 754, in run self.__target(_self.args, *_self.__kwargs) File "/home/vuk/anaconda2/lib/python2.7/site-packages/gensim-0.12.4-py2.7-linux-x86_64.egg/gensim/models/word2vec_supervised.py", line 529, in worker_train job_words = self._get_job_words(alpha, work, job, neu1) File "/home/vuk/anaconda2/lib/python2.7/site-packages/gensim-0.12.4-py2.7-linux-x86_64.egg/gensim/models/word2vec_supervised.py", line 488, in _get_job_words a1 = sum(train_sentence_sg_categ_nogil(self, sentence, alpha, work) for sentence in job) File "/home/vuk/anaconda2/lib/python2.7/site-packages/gensim-0.12.4-py2.7-linux-x86_64.egg/gensim/models/word2vec_supervised.py", line 488, in a1 = sum(train_sentence_sg_categ_nogil(self, sentence, alpha, work) for sentence in job) File "word2vec_inner_supervised.pyx", line 903, in word2vec_inner_supervised.train_sentence_sg_categ_nogil (./gensim/models/word2vec_inner_supervised.c:8797) KeyError: 'pos_word'
Any idea why this would happen?
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VuceWillis
So, I was trying out an own implementation where I used the following label_dict: label_dict = {"good": ["pos_word"], "awesome": ["pos_word"], "great": ["pos_word"], "bad": ["neg_word"], "horrible": ["neg_word"], "terrible": ["neg_word"]}
Running:
Set values for various parameters
num_features = 300 # Word vector dimensionality
min_word_count = 50 # Minimum word count
num_workers = 4 # Number of threads to run in parallel context = 8 # Context window size
downsampling = 1e-3 # Downsample setting for frequent words
Initialize and train the model
model = Word2Vec_Supervised(sentences, hs=0, workers=num_workers, size=num_features, min_count=min_word_count, window=context, sample=downsampling, label_dict=label_dict)
Gave me the following KeyError: Exception in thread Thread-4: Traceback (most recent call last): File "/home/vuk/anaconda2/lib/python2.7/threading.py", line 801, in bootstrap_inner self.run() File "/home/vuk/anaconda2/lib/python2.7/threading.py", line 754, in run self.__target(_self.args, *_self.__kwargs) File "/home/vuk/anaconda2/lib/python2.7/site-packages/gensim-0.12.4-py2.7-linux-x86_64.egg/gensim/models/word2vec_supervised.py", line 529, in worker_train job_words = self._get_job_words(alpha, work, job, neu1) File "/home/vuk/anaconda2/lib/python2.7/site-packages/gensim-0.12.4-py2.7-linux-x86_64.egg/gensim/models/word2vec_supervised.py", line 488, in _get_job_words a1 = sum(train_sentence_sg_categ_nogil(self, sentence, alpha, work) for sentence in job) File "/home/vuk/anaconda2/lib/python2.7/site-packages/gensim-0.12.4-py2.7-linux-x86_64.egg/gensim/models/word2vec_supervised.py", line 488, in
a1 = sum(train_sentence_sg_categ_nogil(self, sentence, alpha, work) for sentence in job)
File "word2vec_inner_supervised.pyx", line 903, in word2vec_inner_supervised.train_sentence_sg_categ_nogil (./gensim/models/word2vec_inner_supervised.c:8797)
KeyError: 'pos_word'
Any idea why this would happen?