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new in gsl 2.1 - triplet, row-sparse and column-sparse are supported.
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Reported by @gidiko:
Using the following snippet in python:
``` python
import networkx as nx
from skylark import sketch
import numpy as np
num_nodes = 10000
num_attach_edges = 5
sketch_size = 10
g…
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Hi I am trying to run a cholesky decomposition on a Sparse matrix like so:
```
# Make a random positive definite sparse matrix in numpy
X = np.random.randn(100,100)
X[X 68 L_da_chol = da.lin…
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It'd be great if support for sparse vectors/matrices could be made to work.
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This is something I'm missing a bit: a way to convert `scipy.sparse`'s `csc_matrix` into an equivalent `arma::sp_mat` matrix (and back). I plan to write a converter myself as I need this, but I can im…
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The following code fails:
``` r
file
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Hello everyone,
Would be possibly to add float16 to the supported types in the cupyx.scipy.sparse class in order to save some memory when storing huge sparse matrices?
Best regards
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Dear scarches team,
I have noticed, that when I tried to run scPoli.train() on a reference dataset of ~40000 cells x 5300 genes, and set the count layer .X to the raw counts, the training got progr…
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Dear Patrick,
first of all thanks for this package.
Do you think it would be possible to add the support for sparse matrices (from the Matrix package)?
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The Iterative Solver lab references a lab on linear systems that could be useful to solve problem 5. After looking for it in Bootcamp 2018, I could not find it. Is it in a specific folder?