python - Averaging Multiple Models Word2vec Gensim -
i have trained few million words in word2vec of gensim of python. want update trained model new data. previous posts , other sources around web came know not possible. trying create multiple models , dump them. want merge models dumping. want use these dumped results. got previous post merging pretrained models in word2vec? not getting how it. came know there library named deepdist, trying see experiments around:
model = word2vec.word2vec.load_word2vec_format('/tmp/vectors.bin', binary=true) - is there possible solution?
- if any, 1 may kindly suggest how it?
i using python2.7 on windows 7 professional.
the answer pointed not suggest merging models solution. actually, suggesting use different models have separately. cast prediction each of models , combine answers. there several approaches combine output. in case mention have several models, can ignore part of answer suggest break training data in 2 in order have 3 models casting predictions. can use majority voting policy long have more 2 predictions.
Comments
Post a Comment