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HurlesGroupSanger / indelible

Structural Variation breakpoint discovery via adaptive learning
GNU General Public License v3.0
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ValueError: Found array with 0 sample(s) (shape=(0, 17)) while a minimum of 1 is required. #17

Open sunnyyakima opened 1 year ago

sunnyyakima commented 1 year ago

Hi I am using the docker version of InDelible, I can run the test_data successfully.

but got an error using my own data:

12/07/23 - 12:40:31: Fetching reads... Total number of split reads processed: 818 12/07/23 - 12:40:32: Aggregating across positions... 12/07/23 - 12:40:32: Scoring positions... Traceback (most recent call last): File "indelible.py", line 210, in indelible.score_positions(counts_path, scored_path, config) File "/usr/src/app/indelible/indelible/score_positions.py", line 67, in score_positions df_final = score_dataframe(clf, df) File "/usr/src/app/indelible/indelible/score_positions.py", line 31, in score_dataframe predictions = clf.predict_proba(values) File "/usr/local/lib/python3.8/dist-packages/sklearn/ensemble/forest.py", line 588, in predict_proba X = self._validate_X_predict(X) File "/usr/local/lib/python3.8/dist-packages/sklearn/ensemble/forest.py", line 359, in _validate_Xpredict return self.estimators[0]._validate_X_predict(X, check_input=True) File "/usr/local/lib/python3.8/dist-packages/sklearn/tree/tree.py", line 391, in _validate_X_predict X = check_array(X, dtype=DTYPE, accept_sparse="csr") File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py", line 547, in check_array raise ValueError("Found array with %d sample(s) (shape=%s) while a" ValueError: Found array with 0 sample(s) (shape=(0, 17)) while a minimum of 1 is required.