runtime error

Exit code: 1. Reason: 2025-10-09 18:08:51 - matplotlib.font_manager - INFO: generated new fontManager preprocessor_config.json: 0%| | 0.00/160 [00:00<?, ?B/s] preprocessor_config.json: 100%|██████████| 160/160 [00:00<00:00, 839kB/s] config.json: 0%| | 0.00/69.7k [00:00<?, ?B/s] config.json: 100%|██████████| 69.7k/69.7k [00:00<00:00, 125MB/s] Fast image processor class <class 'transformers.models.vit.image_processing_vit_fast.ViTImageProcessorFast'> is available for this model. Using slow image processor class. To use the fast image processor class set `use_fast=True`. Traceback (most recent call last): File "/home/user/app/app.py", line 69, in <module> flare_model = train_flare_model() ^^^^^^^^^^^^^^^^^^^ File "/home/user/app/app.py", line 66, in train_flare_model model = LogisticRegression().fit(X, y) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/sklearn/base.py", line 1365, in wrapper return fit_method(estimator, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/sklearn/linear_model/_logistic.py", line 1256, in fit check_classification_targets(y) File "/usr/local/lib/python3.11/site-packages/sklearn/utils/multiclass.py", line 221, in check_classification_targets raise ValueError( ValueError: Unknown label type: continuous. Maybe you are trying to fit a classifier, which expects discrete classes on a regression target with continuous values.

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