Open christophechu opened 1 month ago
cnmf_obj.consensus(k=selected_K, density_threshold=density_threshold, show_clustering=True, close_clustergram_fig=False)
add norm_tpm.X = norm_tpm.X.astype(np.float32) and norm_counts.X = norm_counts.X.astype(np.float32) can solve this problem
Hi, I can't reproduce the problem you're posing, can you give a detailed input/output case, and what is reported as an error?
Zehua
In cnmf it has been solved, But in omicverse its still here.