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materialsintelligence / mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
MIT License
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Problems training the model #28

Open MasterLucas opened 2 years ago

MasterLucas commented 2 years ago

Dear community,

I'm having a problem running the line code to train the model on the corpus example. The following error messages are printed.

:228: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject 2022-06-10 00:06:51,569 : INFO : Basic min_count trim rule for formula. 2022-06-10 00:06:51,569 : INFO : Not including extra phrases, option not specified. Traceback (most recent call last): File "/home/lucas_bandeira/Documents/mat2vec/mat2vec/training/phrase2vec.py", line 165, in sentences, phraser = wordgrams(processed_sentences, File "/home/lucas_bandeira/Documents/mat2vec/mat2vec/training/phrase2vec.py", line 44, in wordgrams phrases = Phrases( TypeError: \_\_init\_\_() got an unexpected keyword argument 'common_terms' Could somebody help me to solve this problem? Sincerely yours,
jdagdelen commented 2 years ago

This is most likely a package version issue. Can you double check you followed the installation setup instructions?

MasterLucas commented 2 years ago

I just checked the packages installed and all of them satisfy the requirements. The python version I am using is 3.6.13. Might this be the problem?