runtime error

Exit code: 1. Reason: 0 minutes. Please monitor the logs. The app will restart automatically when finished. ================================================== Downloading data from Google Drive (ID: 1DyP5iFIbk3un5dW_skRJ96fjAOlKlnfs)... Downloading... From: https://drive.google.com/uc?id=1DyP5iFIbk3un5dW_skRJ96fjAOlKlnfs To: /home/user/app/anonymized_wide_lab_data_v2.parquet 0%| | 0.00/8.58M [00:00<?, ?B/s] 100%|██████████| 8.58M/8.58M [00:00<00:00, 75.1MB/s] Loading and preparing data for training... Creating pseudo-labels and splitting data... Directory 'prediction_models_v2/' created. /usr/local/lib/python3.10/site-packages/sklearn/impute/_base.py:653: UserWarning: Skipping features without any observed values: ['Anti HBs' 'Calcium phosphate' 'Triple phosphate crystal']. At least one non-missing value is needed for imputation with strategy='median'. warnings.warn( --- Training model for Diabetes --- /usr/local/lib/python3.10/site-packages/xgboost/training.py:199: UserWarning: [15:15:16] WARNING: /workspace/src/learner.cc:790: Parameters: { "use_label_encoder" } are not used. bst.update(dtrain, iteration=i, fobj=obj) Traceback (most recent call last): File "/home/user/app/app.py", line 105, in <module> explainer = shap.TreeExplainer(pipeline.named_steps['classifier'], background_data) File "/usr/local/lib/python3.10/site-packages/shap/explainers/_tree.py", line 278, in __init__ self.model = TreeEnsemble(model, self.data, self.data_missing, model_output) File "/usr/local/lib/python3.10/site-packages/shap/explainers/_tree.py", line 1261, in __init__ self._set_xgboost_model_attributes( File "/usr/local/lib/python3.10/site-packages/shap/explainers/_tree.py", line 1506, in _set_xgboost_model_attributes loader = XGBTreeModelLoader(self.original_model) File "/usr/local/lib/python3.10/site-packages/shap/explainers/_tree.py", line 2104, in __init__ self.base_score = float(learner_model_param["base_score"]) ValueError: could not convert string to float: '[1.5320224E-1]'

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