Example: Metabolomics Regression 20260105_001626Failed

Algorithm: Random Forest | Created: January 05, 2026 at 00:16

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Job Failed

Failed to parse Python output: 743: unexpected token at 'Starting pipeline execution for Job: 69 Loaded data: (200, 50) features, (200,) targets. Running nested cross-validation... {"success": false, "error": "Unknown label type: continuous. Maybe you are trying to fit a classifier, which expects discrete classes on a regression target with continuous values.", "job_id": 69} '

CLI Command (Copy-Paste Ready)
OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 /opt/ml-env/bin/python /app/scripts/ml_pipeline.py --config /app/public/ml_results/69/job_config.json
Standard Output (stdout)
Starting pipeline execution for Job: 69
Loaded data: (200, 50) features, (200,) targets.
Running nested cross-validation...
{"success": false, "error": "Unknown label type: continuous. Maybe you are trying to fit a classifier, which expects discrete classes on a regression target with continuous values.", "job_id": 69}
Standard Error (stderr)
Traceback (most recent call last):
  File "/app/scripts/ml_pipeline.py", line 41, in run_from_json
    results = run_pipeline(config)
  File "/app/multiomics_analysis/pipeline.py", line 30, in run_pipeline
    results = run_nested_validation(X, y, config)
  File "/app/multiomics_analysis/evaluation/validation.py", line 93, in run_nested_validation
    model.fit(X_train_sel, y_train_fold)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/ml-env/lib/python3.13/site-packages/sklearn/base.py", line 1365, in wrapper
    return fit_method(estimator, *args, **kwargs)
  File "/opt/ml-env/lib/python3.13/site-packages/sklearn/ensemble/_forest.py", line 418, in fit
    y, expanded_class_weight = self._validate_y_class_weight(y)
                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^
  File "/opt/ml-env/lib/python3.13/site-packages/sklearn/ensemble/_forest.py", line 830, in _validate_y_class_weight
    check_classification_targets(y)
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^
  File "/opt/ml-env/lib/python3.13/site-packages/sklearn/utils/multiclass.py", line 221, in check_classification_targets
    raise ValueError(
    ...<3 lines>...
    )
ValueError: Unknown label type: continuous. Maybe you are trying to fit a classifier, which expects discrete classes on a regression target with continuous values.