Hi Team! I submitted my image through the fastlane and it succeeded (9725521). But when submitting my docker image to task 1, there's an issue (seems to be a docker issue). I'm not super sure about the reason for that. Can someone help me with that? Very appreciate your support! error log here: Traceback (most recent call last): STDERR: 2022-09-12T01:48:53.818992521Z File "/usr/local/lib/python3.8/site-packages/cwltool/process.py", line 454, in fill_in_defaults STDERR: 2022-09-12T01:48:53.818996058Z raise WorkflowException( STDERR: 2022-09-12T01:48:53.818999082Z cwltool.errors.WorkflowException: Missing required input parameter 'input_file' The submission id is 9725522.

Created by Zijing Wang ZZZJW
Oh I c! That's super helpful~ thank you!!
Hi !! thank you for the log info~ Is this one from 9725522 or 9725521? I think the 9725521 is the fastlane submission and it got succeed , the failed one is 9725522 which is a official submission for task 1.
Hi @ZZZJW , Thank you for sharing your TOIL logs! These are errors specifically for the workflow, that is: it expected a `predictions.csv` file but could not be found, hence the error. I looked into your submission ID 9725522, and received the following error during the Docker run: ``` Feature names seen at fit time, yet now missing: - age_Below_18 - age_Unknown warnings.warn(message, FutureWarning) Traceback (most recent call last): File "/usr/local/predicting.py", line 242, in main() File "/usr/local/predicting.py", line 104, in main results = model(args.input_dir) File "/usr/local/predicting.py", line 81, in model X File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 808, in predict proba = self.predict_proba(X) File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 850, in predict_proba X = self._validate_X_predict(X) File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 579, in _validate_X_predict X = self._validate_data(X, dtype=DTYPE, accept_sparse="csr", reset=False) File "/usr/local/lib/python3.7/site-packages/sklearn/base.py", line 585, in _validate_data self._check_n_features(X, reset=reset) File "/usr/local/lib/python3.7/site-packages/sklearn/base.py", line 401, in _check_n_features f"X has {n_features} features, but {self.__class__.__name__} " ValueError: X has 136 features, but RandomForestClassifier is expecting 138 features as input. ``` Hope this helps! EDIT: submission ID typo

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