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In the OptModelInputs object, the _pairwise_matrix requires significant computation time because it computes the distance matrix for the entire well data before then extracting the needed values for t…
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Hi,
I am working on analyzing the input distribution and statistical distances outlined in Table3.py and Theorem5.py, and I have encountered a few issues. I would greatly appreciate your insights …
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This issue reviews some of the performance gaps of the distance functions in `scipy.spatial.distance`, and proposes a “plug-in” mechanism aimed at making it easier to address these gaps by delegating…
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Hi! I've followed the local installation instructions for the GADES package:
git clone https://github.com/lab-medvedeva/GADES-main.git
cd GADES-main
Rscript install.R
When executing the instal…
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### What would you like to Propose?
Problem Statement: Given a set of cities and the distances between each pair, the objective is to find the shortest possible route that visits each city exactly on…
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`addr_match()` works by grouping both the input and the reference addresses by their tagged five digit zipcode and matching within each of these groups.
This approach benefits from reducing RAM usa…
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Hello,
When searching more neighbours than there are samples in the population, one expects `-1` returned indexes and infinite (before `nan_to_num`) distances. I tested this on empty indexes and it…
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First of all thank you for the great work with this package. I do hope it becomes the standard routine for basic GPU matrix calculations in R as this is the most recent updated package being actively …
mjmg updated
11 months ago
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The method prints a lot of logs even though the verbose parameter is set to False:
```
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10/10 [00:53
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It would be great if there's an option for embarrassingly parallel computations, especially if all N^2 distances are calculated.