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### Feature description
Right now we support LR schedulers but only provide a constant schedule or the Noam schedule.
Would be nice if we added a couple of common/popular LR schedulers:
- [ ] S…
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Hi everyone,
The definition of similarity using cosine is which give us a number between [-1, 1].
But in the code the similarity is defined by which will give a number between [0, 2]. Should we…
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I saw that currently the cosine similarity is computed on a vector by vector basis, which can become quite slow for a big amount of samples.
I recently had the same issue on a personal project with a…
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Perhaps we can improve our search experience by:
1. Loading in all the vector embeddings of every issue and associated comments from our database
2. Run the similarity search (i.e. cosine) to ra…
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I attempted to apply the method to clustering tweets. I may be misunderstanding how this works, but running it with cosine_similarity(matrix name) only worked when my data was very small (500 tweets)…
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In explore_context2vec.py, when got context_v and target_v, why use w again?
You use the w to get the context_v, didn't you?
```
def mult_sim(w, target_v, context_v):
target_similarity = w.dot…
mfxss updated
6 years ago
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Hi, I think it would be helpful for users if there was a cosine operation for the calculator.
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cypher_queries/method1_queries.cql
change:
line 35: et al
gds.alpha.similarity.cosine
to:
gds.similarity.cosine
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In the source code, the author calculates the cosine distance as follows.
sum_support = torch.sum(torch.pow(support_image, 2), 1)
support_manitude = sum_support.clamp(eps, float("…
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Hello,
Thanks for putting together this package. Your cosine_dist function in fact calculates similarity rather than distance. This can be confusing, especially since the documentation also says it c…