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I'm looking at a largish dataset, 190k cells, coming from a Seurat object. My data matrix is coming in spase as a dgCMatrix but when I go to make an URD object i get the following error:
axial
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Cannot install TPHATE by `pip install tphate` for new installations of Python >= 3.10 in Anaconda on Windows 10. Installing by same method does work for Python 3.7, 3.8, and 3.9. Error message for `pi…
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We should implement the compressed ndarray, it is used widely in scikit-learn. The csr_matrix is included in SciPy not NumPy, but I think we should move it into NumSharp. @dotChris90 What do you think…
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This is a consolidation of several matrix related tickets, e.g. #2705, #10734, #11161, #12177, #12679, #13177, #13915, #15104, ... basically, the world of matrices over finite fields. The fundamenta…
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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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Docs say a scipy sparse csc matrix can be used but it can't. It works with sparse3corpus. Here is example:
```python
import gensim
from sklearn.feature_extraction.text import CountVectorizer
fro…
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Dear all,
I really like using ContactMap Explorer! I was wandering if there is a way to create a pandas dataframe out of a ContactFrequency calculation.
Like:
```
traj=mdt.load('trajectory.h5'…
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when I use biglasso,my data was a sparse matrix class of Matrix package,biglasso seems only support a big.matrix,I can not onvert a sparse matrix to a big.matrix. any suggestions? thanks
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Hi,
I have cite-seq data with only one protein. After running cite-seq-count and use Read10x() to read the umi_count matrices, I noticed that my matrix is very sparse. Since I only have 1 protein,…
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The current API to compute/get a hessian in matscipy is the following function:
```python
def get_hessian(self,
atoms: ase.Atoms,
format: str = 'sparse',
…