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### Describe the feature or idea you want to propose
would be nice to thread them
### Describe your proposed solution
use n_jobs from base collection estimator
### Describe alternatives you've co…
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**Is your feature request related to a problem? Please describe.**
Metrics that require calculating pairwise distances between cells (e.g. distance correlation, co-ranking) currently can't be calcu…
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this is the error im getting when running launch.gui...
File "C:\Users\user\OneDrive\Desktop\bots and dice\Rush-Royale-Bot-main\.bot_env\lib\site-packages\sklearn\metrics\pairwise.py", line 33, i…
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Hi. I am using `pairwise_distance` Python API to calculate Jaccard distance and wonder how I can apply this on GPU. With `faiss.pairwise_distances(embeddings, embeddings, faiss.METRIC_Jaccard)`, you o…
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> If more than two sets are provided, the mean of all pairwise scores is calculated.
It would be great to be able to get a matrix of pairs, for tasks such as hierarchical clustering and pairwise di…
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Would it be possible to add function which computes Barnes-Hut SNE embedings from a precomputed pairwise distance matrix?
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Caroline pointed out that we could link "nNodes" and "patristic" with a parameter lambda, just like we do in our metric. Add this to Shiny app and make these methods more conveniently available from t…
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The current work-around is to use `-fno-sized-deallocation` see https://github.com/scikit-learn/scikit-learn/pull/28506#discussion_r1512897297 for more details.
This can be reproduced locally with …
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Hey,
thank you for this very convenient package.
I am digging around trying to understand how it works but can't find how are the distances
computed.
What are the metrics used to compute ecol…
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Currently the dtype of the distance matrix returned by `pairwise_distances` is not very consistent, depending on the metric and on the value of n_jobs.
For float64 input, everything is consistent: …