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Hello, I want to use scATAC-seq dataset to deconvolute 10x Visium dataset, is it feasible?
When I prepare anndata for the regression model, some warings appeared as follows:
cell2location.models.R…
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===BEGIN EDIT===
## Description
`LinearRegression` should have a parameter `tol` that is passed to the LSQR routine for solving with sparse matrices. This way, it should be (more or less) equal to `…
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Hello, I used the following script to compare the performance of the jax gmres solver and the one from scipy :
```
from time import time
import jax
import scipy
from jax import jit
def s…
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I know from @glouppe that "RFs in sklearn now support sparse matrices too"
https://twitter.com/glouppe/status/660012865554903040
It would be interesting to see the results with sparse for RF and for …
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I was wondering if you could benchmark the training computation time of h2o glm models (logistic regression classifier) for sparse (lots of zeros) vs. dense input matrix? There is big difference in th…
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Hello there!
I'm still currently adapting CF techniques for classification to regression, and I have a small problem with the Wachter & Al. technique producing CFs that are not sparse at all. (see …
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Hi!
I hope this is the right place for this question. I have built and optimized a Sparse Gaussian Process Regression model using the GPy library. The documentation recommends to save the model as…
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Since 0.4 we have `Eye+sparse=dense`. We should keep the sparsity in situations like this.
Regression reported over slack by Satya Bade:
> Hi Stefan, Thanks, I think the problem is with the addi…
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Intent resolution benchmarks are seeing significant performance regressions from 22.1, as described in https://github.com/cockroachdb/cockroach/issues/88723#issuecomment-1262708660.
Jira issue: CRD…
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Sparse regression is a clear improvement for interpretability of embedding techniques, so adding the Lasso
ridge regression
or maybe just the *elastic net* 🐟
(from https://cims.nyu.edu/~cfgr…