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Doc2Vec等を実装したプログラムをapp.pyから呼び出せるようにする
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(venv) family@nate-hp-g5:~/AI-powered-files-system-and-the-searching-framwork$ /home/family/AI-powered-files-system-and-the-searching-framwork/venv/bin/python /home/family/AI-powered-files-system-and-…
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#### Problem description
I am trying to track training loss using doc2vec algorithm. And it failed. Is there a way to track training loss in doc2vec?
Also, I didnt find any documentation relat…
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Note that this is just a minor improvement, everything works as expected at the moment.
The plain Word2Vec example does not benefit from GPU usage. This is due to certain pecularities of the word2v…
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Hi @maartenmarx,
This is my general update for last week and I apologize for the late update because I am trying to finish the model.
Previous week:
- Finished the first base [LogisticRegress…
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It looks like you don't have plans to keep developing this prototype, but I may be interested in integrating the PV-DM distributed memory method into the implementation (mainly because it has shown be…
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#### Problem description
What are you trying to achieve? What is the expected result? What are you seeing instead?
I tried to continue training from previously saved Doc2Vec model, and I onl…
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The script now only supports training and testing given an input dataset, we need to add a new function to support prediction given a new example.
- Save the trained models (doc2vec, random forest/…
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Rather than full text search , it might be useful to support some form of semantic search.
See for example [`doc2vec` semantic search](https://psychemedia.github.io/storynotes/Lang_Doc2Vec.html), o…