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reginabarzilaygroup / Sybil

Deep Learning for Lung Cancer Risk Prediction using LDCT
MIT License
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ink still wet, code already broken #20

Closed mlewis1973 closed 10 months ago

mlewis1973 commented 10 months ago

probably taken out by changes in scikit-learn too bad there isn't a requirements.txt or a Dockerfile with a hint of what version of scikit-learn was originally used...

scores = model.predict( [ serie] ) Traceback (most recent call last): File "", line 1, in File "/home/mlewis/anaconda3/envs/sybil/lib/python3.9/site-packages/sybil/model.py", line 289, in predict calib_scores = self._calibrate(scores).tolist() File "/home/mlewis/anaconda3/envs/sybil/lib/python3.9/site-packages/sybil/model.py", line 222, in _calibrate probs = self.calibrator["Year{}".format(YEAR + 1)].predict_proba(probs)[ File "/home/mlewis/anaconda3/envs/sybil/lib/python3.9/site-packages/sklearn/calibration.py", line 500, in predict_proba proba = calibrated_classifier.predict_proba(X) File "/home/mlewis/anaconda3/envs/sybil/lib/python3.9/site-packages/sklearn/calibration.py", line 791, in predict_proba pred_method, method_name = _get_prediction_method(self.estimator) AttributeError: '_CalibratedClassifier' object has no attribute 'estimator'

mlewis1973 commented 10 months ago

requirements.txt is in docs/