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Hey guys,
so scikit-learn has a precompute option for the metric that allows users to pass their own precomputed distance matrix over to the neighbour search object. This already works with pydiffm…
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From my rough work, if we let the custom metric be the Gower metric, the distance matrix for all points in the dataset can be computed for both numerical and categorical data. However, it seems this i…
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I have created a script to create a [precomputed skeleton with unsharded format](https://github.com/google/neuroglancer/blob/master/src/datasource/precomputed/skeletons.md), I have ~ 10k files numbere…
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looks like the file has moved to your bin folder in the drive. please provide json files
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Version: 117
Platform: Windows 11 (x64)
Using `-O2` and higher on Windows produces `UNREACHABLE executed at Precompute.cpp:838` error.
I've attached the binary that helps to reproduce the behavio…
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There are 25 contest/ballot and 4 selections per contest, giving 100 selections/ballot.
Single threaded on HP Z440 Workstation 6-core Intel Xeon E5-1650 v4 (3.6 GZ) Ubuntu 20.04, Java 17.
te…
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I have already run Pyrodigal on ~50k genomes and would like to run GECCO on these genomes without rerunning Pyrodigal in the backend. Is there similar usage to `antiSMASH` where precompute gene model…
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I did some investigation on the speed of compilation. This is getting important because of things like j2cl output which is a 50MB real-world file.
Slowest passes: (in `-O3`; note that some passes …
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Sometimes we do not have point representations in space but rather only distances between those points.
Therefore it would be great if some algorithms (I'm especially interested in HDBSCAN and Agglo…
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#### Issue type:
- :heavy_plus_sign: Feature request
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#### Description:
If the user knows beforehand that a certain source will be queried many times, then it may be good for performanc…