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2025-04-29 12:28:24
ref: /home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/codecarbon/data/private_infra/global_energy_mix.json
2025-04-29 12:28:27
/home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
2025-04-29 12:28:27
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
2025-04-29 12:28:27
ref: /home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/codecarbon/data/private_infra/global_energy_mix.json
2025-04-29 12:28:27
ref: /home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/codecarbon/data/private_infra/global_energy_mix.json
2025-04-29 12:28:27
/home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/codecarbon/output_methods/file.py:79: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
2025-04-29 12:28:27
  df = pd.concat(