Unable to run cross validation step for learning lasso model

[GeraldineKong]

Hi there, I was trying to run MUSiCC on my data and I run into a strange problem. Below is the command line I used:
$ run_musicc.py ko_tp12_musicc_TSS.tsv -o ko_tp12_musicc_norm.tsv -n -c learn_model -perf -v

And even though it previously said it could detect 18 samples, the process failed in the end saying that my number of samples = 0.

Running MUSiCC...
Input: ko_tp12_musicc_TSS.tsv
Output: ko_tp12_musicc_norm.tsv
Normalize: True
Correct: learn_model
Compute scores: True
Loading data using pandas module...
18 samples and 208 genes
Done.
Performing MUSiCC Correction...
Learning sample-specific models
.Traceback (most recent call last):
File "/home/geraldine/miniconda3/bin/run_musicc.py", line 26, in
correct_and_normalize(vars(given_args))
File "/home/geraldine/miniconda3/lib/python3.6/site-packages/musicc/core.py", line 344, in correct_and_normalize
final_model, all_samples_mean_scores[s] = learn_lasso_model(final_covariates, final_response)
File "/home/geraldine/miniconda3/lib/python3.6/site-packages/musicc/core.py", line 35, in learn_lasso_model
k_fold = cross_validation.KFold(len(res_train), n_folds=num_cv, shuffle=True)
File "/home/geraldine/miniconda3/lib/python3.6/site-packages/sklearn/cross_validation.py", line 337, in init
super(KFold, self).init(n, n_folds, shuffle, random_state)
File "/home/geraldine/miniconda3/lib/python3.6/site-packages/sklearn/cross_validation.py", line 262, in init
" than the number of samples: {1}.").format(n_folds, n))
ValueError: Cannot have number of folds n_folds=5 greater than the number of samples: 0.

Thanks for your time!