aterceros
aterceros
Thank you for the comment! I'll try the second option!
Hi! Thank you for the suggestion above, I tried the second suggestion and seems to work well. However, when I run the bootsrap option, I get very large variances (i.e....
Thanks for your answer, sure, here what I'm trying to run: distance = pt.tl.Distance("wasserstein", obsm_key="X_pca") X = adatap.obsm["X_pca"][adatap.obs["condition"] == "2HR"] Y = adatap.obsm["X_pca"][adatap.obs["condition"] == "8HR"] dfd_variance = distance.bootstrap(X, Y) Thanks!
I think it might be something related to installing the GitHub version...
I just upgraded to 0.8 but still getting the "no attribute 'bootstrap'" error, do you recommend using python 3.10 to fix this?
Sorry for the delay! I wasn't able to test on python 3.10 yet as I have some code running, but I can respond once I test this, thank you for...
thank you so much! downgrading fixed it!