ReRun the modified code

[Soudeh-Jahanshahi]

Everything works fine.

My only concern is about the order of hyperparameter sets which is different from hyperparameters_doc2vec.json, which is the same JSON file that I used for Word2Vec models where sg was replaced by dm.

For instance, the first 9 hyperparameter sets are for dm=0, while in hyperparameters_doc2vec.json, the even sets are for dm=0.

[Soudeh-Jahanshahi]

I want to add to this report my second concern:

• The code exhibits inefficiency in memory usage, unnecessarily consuming additional memory by saving a single embedding file for every document via function create_document_embeddings of script embeddings.py: Last week when I executed the compact-code on de-NBI cloud I could get the results of all 18 sets at once, but using this new modified code I just had space to get the results of first 6 sets at once ...

And I really enjoyed using script show_avg.py, which produces a summary table of average results of all sets for each evaluation quantity --the same as the tables that we should fill in the spreadsheets-- and save it as a tsv file: So far I did fill all my tables in the spreadsheets row by row :)