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### Steps To Reproduce
In the following code `A.LU()` works fine, but `B.LU()` errors out.
```
A = random_matrix(RDF,4)
print(A.LU())
B = A.sparse_matrix()
print(B.LU())
```
### Expected B…
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I am having difficulties having consistent results as the set of `lambda` values selected from `cvglmnet` is not the same when using sparse and dense matrices:
`lambdau` using `cvglmnet(x=X.copy(),…
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Hello,
We are currently using `Flag_complex_edge_collapser` (if it is fine for you, I will continue with `collapser`) for some computation and we encountered something unexpected. Running `collapse…
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The Polynomial Equivalent Layer in `fatiando.gravmag,eqlayer` is a fast and memory efficient implementation of the equivalent layer for potential field processing. However, there have been reports tha…
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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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The example below speaks for itself:
```r
> library(scp)
> data("leduc_minimal", package = "scp")
> library(SparseArray)
> NaArray(assay(leduc_minimal))
of type "double" [nnacount=7182 (49%)]…
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### 🐛 Describe the bug
As Pytorch does not (yet?) support broadcasting on sparse matrices, I implemented a simple autograd class. Forward propagation works fine, but backprop fails with a cryptic:
…
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`lq(A)` is not working with a sparse matrix `A`.
It should be possible to use the sparse QR factorization available in SuiteSparse on `A'`.
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## 🚀 Feature
I was wondering if it would be possible to do the OT matrix computation (ot.emd) using sparse matrices,
(eg: https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.coo_array…
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Support for sparse matrices having `indices`, `indptr`, `row` or `col` attributes with int64 dtype was recently added or confirmed for most sparse-supporting estimators.
SGDClassifier and SGDRegres…