DeprecationWarning: Deprecated. Use gensim.models.KeyedVectors.load_word2vec_format instead.

[Ashfaqjiskani]

python convert-wordemb-dict2emb-matrix.py ./Data/training.dict.pkl ./wordEmb/GoogleNews-vectors-negative300.bin Word2Vec_WordEm The following non-word tokens will not be extracted from the pretrained embeddings: ['', '', '', '', '', '.', ',', '``', "''", '[', ']', '`', '-', '--', "'", '', '<first_speaker>', '<second_speaker>', '<third_speaker>', '<minor_speaker>', '<voice_over>', '<off_screen>', ''] INFO:covert-wordemb-dict2emb-matrix:Word2Vec embeddings given as input INFO:covert-wordemb-dict2emb-matrix:No spelling corrections will be applied INFO:covert-wordemb-dict2emb-matrix:Final word embedding dim: 300 INFO:covert-wordemb-dict2emb-matrix:Final standard deviation: 0.010000 INFO:covert-wordemb-dict2emb-matrix:Vocabulary size: 24 Using TensorFlow backend. INFO:summa.preprocessing.cleaner:'pattern' package not found; tag filters are not available for English Traceback (most recent call last): File "convert-wordemb-dict2emb-matrix.py", line 129, in embedding_dict = gensim.models.Word2Vec.load_word2vec_format(args.embedding_dictionary, binary=True) File "/usr/local/lib/python2.7/dist-packages/gensim/models/word2vec.py", line 1420, in load_word2vec_format raise DeprecationWarning("Deprecated. Use gensim.models.KeyedVectors.load_word2vec_format instead.") DeprecationWarning: Deprecated. Use gensim.models.KeyedVectors.load_word2vec_format instead.