Dominik J. Otto
Dominik J. Otto
Hi @gighuarhguggg45! Thank you for reporting. This sounds like your `ad.X` might be a JAX array. Could you try ```Python ad.X = np.asarray(ad.X) imputed_X = palantir.utils.run_magic_imputation(ad, n_jobs=16) ``` and see...
Just to clarify: We do not explicitly use jax in the `palantir.utils.run_magic_imputation` function. However, we do use the dot product function that picks an implementation based on the input arrays....
@wbrett87 can you please inspect `adata.X` and see if the shape, format and content is what we expect from a gene expression matrix?
@wbrett87, it appears that your `ad.X` is stored in a sparse format. Consequently, converting `ad.X` directly to a NumPy array is unnecessary and likely the cause of the error you're...
Hi @simonekats, thank you for reporting! Could you provide - the version of palantir you are uising, - a code example of the calls you expect to manipulate the anndata,...
That looks great! Please provide the outputs of `print(ad)` for me to be able to help you though.
Its right there: 
Hi @HeleneHemmer, Thank you for reporting! I am not sure this is a Palantir problem though. Coult you try running `python -c "import palantir; print(palantir.__version__)"` on the command line that...
I recommend setting up your conda environment as a kernel to use in jupyter. To realize this, first enter the environment on the command line, and then run, e.g., ```bash...
Awesome! Glad it works now! :)