Hi, @vchung
My submission (id: 9726112, 9726123) is invalid. It was passed "Fast Lane" and also checked the Docker locally.
Colud you plsease reply my log...?
Created by Daehun Bae qoeogns09 @aarthikr Could you help me check the log of my submission id 9726461 as well? Thank you! Dear @aarthikr
Thank you for reply. It was helpful! Hello,
For the ID 9726112 below is the error log -
```
Traceback (most recent call last):
File "/model_code/run_model_submission5.py", line 256, in
main()
File "/model_code/run_model_submission5.py", line 177, in main
pred_y_age = age_model.predict(pred_x_total_age)
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/metaestimators.py", line 119, in
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/sklearn/model_selection/_search.py", line 487, in predict
return self.best_estimator_.predict(X)
File "/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/_base.py", line 236, in predict
return self._decision_function(X)
File "/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/_coordinate_descent.py", line 886, in _decision_function
return super()._decision_function(X)
File "/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/_base.py", line 218, in _decision_function
X = check_array(X, accept_sparse=['csr', 'csc', 'coo'])
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py", line 73, in inner_f
return f(**kwargs)
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py", line 651, in check_array
raise ValueError("Found array with %d sample(s) (shape=%s) while a"
ValueError: Found array with 0 sample(s) (shape=(0, 150)) while a minimum of 1 is required.
```
For the ID 9726123
T
```
```
```
Traceback (most recent call last):
File "/model_code/run_model_submission5.py", line 261, in
main()
File "/model_code/run_model_submission5.py", line 192, in main
pred_y_age = age_model.predict(pred_x_total_age)
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/metaestimators.py", line 119, in
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/sklearn/model_selection/_search.py", line 487, in predict
return self.best_estimator_.predict(X)
File "/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/_base.py", line 236, in predict
return self._decision_function(X)
File "/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/_coordinate_descent.py", line 886, in _decision_function
return super()._decision_function(X)
File "/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/_base.py", line 218, in _decision_function
X = check_array(X, accept_sparse=['csr', 'csc', 'coo'])
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py", line 73, in inner_f
return f(**kwargs)
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py", line 651, in check_array
raise ValueError("Found array with %d sample(s) (shape=%s) while a"
ValueError: Found array with 0 sample(s) (shape=(0, 150)) while a minimum of 1 is required.
```
Hope this helps!!!
Thanks
Aarthi