Comments (2)
Hi there, started working through your filed issues. I have incorporated the changed suggested in #8
and pushed a new version to GitHub. Can you install directly from GitHub (npm install https://github.com/Planeshifter/node-word2vec.git
) and verify that the code now works for your use case? If so, I will land a new version on npm soon. Thanks!
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I had no particular/distinctive use case, it was just not throwing the callback as expected (and as occured in the previous version). So if that's working now, that's great - thanks! If I get a chance to test it tomorrow I'll post my result here
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Related Issues (20)
- .mostSimilar() returns array of undefined words for an out-of-dictionary word HOT 2
- Why is 1GB of ram required to load a 160mb word vector file?
- post installation script fails on windows. HOT 1
- .similarity(term1, term2) returns null for two identical terms instead of 1 HOT 1
- `mostSimilar` outputs numbers when using Fasttext word vectors HOT 2
- 'make' is not recognized as an internal or external command, in windows 64 bit HOT 1
- Make error postinstall HOT 2
- In Readme HOT 1
- Error: spawn ./word2vec ENOENT
- Error loadModel HOT 4
- Child process exited with code null HOT 1
- Do I need to train the model or I can use the default values straight away to calculate words' similarity? HOT 1
- "Child process exited with code 126" error HOT 2
- clang: error: the clang compiler does not support '-march=native' (Apple M1) HOT 2
- Pass text and get vectors as output without the use of files?
- 'make' is not recognized as an internal or external command,
- LoadModel memory overflow
- Code 126 HOT 9
- Had to remove arr.pop() on line 373 in model.js to get this library working HOT 4
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