mnnpy
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IndexError
I get the following error when using MNN with 4000 genes, but do not get it when testing on 100 genes. This is with the newest numba version (0.47.0)
Performing cosine normalization...
Starting MNN correct iteration. Reference batch: 0
Step 1 of 1: processing batch 1
Looking for MNNs...
Computing correction vectors...
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-19-9ee4a0f9a20e> in <module>
23 sc.pp.log1p(mnn_input_adata_1_rna)
24
---> 25 adata_mnn_rna, _, _ = mnn_correct(mnn_input_adata_0_rna, mnn_input_adata_1_rna, n_jobs=None)
/data/yosef2/users/adamgayoso/.pyenv/versions/scvi/lib/python3.7/site-packages/mnnpy/mnn.py in mnn_correct(var_index, var_subset, batch_key, index_unique, batch_categories, k, sigma, cos_norm_in, cos_norm_out, svd_dim, var_adj, compute_angle, mnn_order, svd_mode, do_concatenate, save_raw, n_jobs, *datas, **kwargs)
124 cos_norm_out=cos_norm_out, svd_dim=svd_dim, var_adj=var_adj,
125 compute_angle=compute_angle, mnn_order=mnn_order,
--> 126 svd_mode=svd_mode, do_concatenate=do_concatenate, **kwargs)
127 print('Packing AnnData object...')
128 if do_concatenate:
/data/yosef2/users/adamgayoso/.pyenv/versions/scvi/lib/python3.7/site-packages/mnnpy/mnn.py in mnn_correct(var_index, var_subset, batch_key, index_unique, batch_categories, k, sigma, cos_norm_in, cos_norm_out, svd_dim, var_adj, compute_angle, mnn_order, svd_mode, do_concatenate, save_raw, n_jobs, *datas, **kwargs)
180 print(' Computing correction vectors...')
181 correction_in = compute_correction(ref_batch_in, new_batch_in, mnn_ref, mnn_new,
--> 182 new_batch_in, sigma)
183 if not same_set:
184 correction_out = compute_correction(ref_batch_out, new_batch_out, mnn_ref, mnn_new,
IndexError: arrays used as indices must be of integer (or boolean) type
Update: the code works with numba==0.45.0.
Hi, did you solve this problem? I also encountered the same problem
Yes, it worked with numba version 0.45.0 and llvmlite 0.30.0
Yes, it worked with numba version 0.45.0 and llvmlite 0.30.0
It works! Thank you very much!