Hi,
We are trying to submit for the subchallenge 2.
The code works in the express lane,
However, we got error on the main lane.
Could you please give us the reason explained in the log file?
submission ID is 9650461.
Thanks,
Created by Heewon Lee yihee Thanks! Dear Heewon,
Here is your log file
```
[INFO|sklearn_netmodels.py:72] 2017-11-02 06:39:53,245 >
###code : concat###
[INFO|sklearn_netmodels.py:161] 2017-11-02 06:39:53,248 >
0/7061 - 2017-11-02 06:39:53.248903
/usr/local/lib/python3.5/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
[INFO|sklearn_netmodels.py:161] 2017-11-02 06:40:06,033 >
1000/7061 - 2017-11-02 06:40:06.032994
filtered_ova_UNION_array
Matrix shape - CNA, RNA, Protein
(173, 11859)
(173, 15121)
(173, 7061)
138 35 173
138 35 173
138 35 173
139 34 173
139 34 173
Make_indices_END
50590 50590
BTNET result Parsing time : 4.656873464584351
BioGRID Parsing time : 8.674341201782227
ProteinComplex Parsing time : 0.1974790096282959
Matrix shape - CNA, RNA, Protein
(173, 11859)
(173, 15121)
(173, 7061)
Traceback (most recent call last):
File "sklearn_netmodels.py", line 298, in
main(**argdict)
File "sklearn_netmodels.py", line 37, in main
msg = do_ml(omics, masks, input_form, logger=logger, dataloader=dataloader, temp_ratio=ratiotype)
File "sklearn_netmodels.py", line 119, in do_ml
if (np.isnan(valid_mr_prot_ratio_feat).any()) or (np.isinf(valid_mr_prot_ratio_feat).any()):
TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
```
Drop files to upload
got the error in main lane, not in express lane (sub2) page is loading…