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I was looking through the following paper which outlines how to code Chamfer Distance using Keops.
Fast geometric learning with symbolic matrices
https://www.jeanfeydy.com/Papers/KeOps_NeurIPS_20…
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Hi all,
A project I maintain uses pairwise similarity matricies that are essentially distance matricies pre-normalisation and conversion to distances. I would love to be able to manipulate these matr…
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What are the "X field in ZCTA file" and "Y field in ZCTA file" used for? Are they used to calculate the geodesic distance?
and what should I input for the "OD pair field name in the table"?
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I tried searching the documentation, but besides sparse matrices (which in most cases would use _more_ space than a dense matrix), I didn't see any tensor types that would take advantage of the abilit…
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When running `hdbscan` with `prims_kdtree`, I get the following traceback. Please note my matrix is sparse.
```
Traceback (most recent call last):
File "Clustering - West Coast - Teachers.py", li…
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Hi there!
I'm wondering if it's possible to have a version of the `leverage` function that operates on sparse matrices?
I'm trying to compute leave-out standard errors (https://github.com/rsagg…
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Hi, I've used positive_definite_intrinsic_mean.mat in manopt package, which is coded as:
```matlab
function X = positive_definite_intrinsic_mean(A)
% Computes an intrinsic mean of a collection of p…
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Hello,
trying with docker, I ran into
```
$ cd freshlycheckedoutcellxgenegitrepository
$ docker build . -t cellxgene
...
762.0 Downloading s3fs-2022.1.0-py3-none-any.whl (25 kB)
762.5 Colle…
smoe updated
2 months ago
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can't fit a sparse matrix as training set using object.fit()
and since the sparse matrix is [16000*3231961]. directly converting it to numpy array like is not practical.
Process to reproduce the i…
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This is part of the GSoC project Testing and Measuring Variable Interactions With Kernels
See Equivalence of distance-based and RKHS-based statistics in hypothesis testing.
Implement distance correl…