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Hi,
thank you for your great work, and thank you for publishing the code! I have a question regarding your baseline MODEST-PP (R0), which you mention in your paper (the one that does not require mu…
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# Variant graph distance estimation
I was talking to @ekg about distance estimation in Prague in the spring this year and promised I would look at it. I have some ideas and I experimented a little, a…
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I test the 2D visulization of ivis with mnist dataset. I found the distribution of point is very crowded in the 2D figure, my code is below:
```
from sklearn.datasets import fetch_openml
from ivis…
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Hi, I have checked the package and tested search both in Python and Rust; however, Python version is significantly faster. I am using Ultra 5 chip.
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- *Can Shared-Neighbor Distances Defeat theCurse of Dimensionality?* Notes the usefulness of shared neighbors as a similarity metric cf actual distance, which usefulness degrades at higher dimensions.…
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How can we objectively evaluate our model?
Some random thoughts below:
1. **Intrusive v.s. non-intrusive metrics**
In speech generation, we generally have 2 kind of metrics: intrusive and non-…
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Hi,
Thanks for the great work!
I have two questions:
1. I would like to define my own distance function for the query in Python. The document says "Can work with custom user-defined distances (C…
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Two questions regarding hnswlib's normalized vectors when using cosine:
**Question 1:**
When I benchmark my hnswlib indices for recall, I'm getting near-zero scores -- values like 3.411307173337…
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As described in the title, it seems that np.inf is assigned to the intra-class distances in triplet_center_loss in triplet.py, which is more like some kind of placeholder.
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Hello everyone,
Really enjoy this package both for understanding and computing with differential geometry and manifolds.
This is a follow-up discussion with @ninamiolane on Twitter about the prospec…