IndexError when running Elastic Net model in prediction tutorial

[1nessh]

Hi,

I'm trying to follow the Pyseer prediction tutorial, and after running the first step, I encountered an IndexError when fitting the Elastic Net Model.

Command

pyseer --vcf snps.vcf.gz --phenotypes resistances.pheno --wg enet \
--save-vars output/ma_snps --save-model penicillin.lasso --cpu 4 --alpha 1 > selected.txt

Error message

Fitting elastic net to top 67277 variants
Traceback (most recent call last):
  File "/Users/sanchezh/miniforge3/bin/pyseer", line 8, in <module>
    sys.exit(main())
             ^^^^^^
  File "/Users/sanchezh/miniforge3/lib/python3.12/site-packages/pyseer/__main__.py", line 661, in main
    enet_betas = fit_enet(p, all_vars, cov, weights,
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/sanchezh/miniforge3/lib/python3.12/site-packages/pyseer/enet.py", line 173, in fit_enet
    enet_fit = cvglmnet(x = variants, y = p.values.astype('float64'), family = regression_type,
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/sanchezh/miniforge3/lib/python3.12/site-packages/glmnet_python/cvglmnet.py", line 244, in cvglmnet
    glmfit = glmnet(x = x, y = y, family = family, **options)    
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/sanchezh/miniforge3/lib/python3.12/site-packages/glmnet_python/glmnet.py", line 454, in glmnet
    fit = lognet(x, is_sparse, irs, pcs, y, weights, offset, parm,
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/sanchezh/miniforge3/lib/python3.12/site-packages/glmnet_python/lognet.py", line 41, in lognet
    y = y[:, [1, 0]]
        ~^^^^^^^^^^^
IndexError: index 1 is out of bounds for axis 1 with size 1

Any ideas on what might be causing it?
Thank you!