Logging Configuration
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Logging Configuration has 6 facts recorded in Dontopedia across 3 references, with 2 live disagreements.
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| Predicate | Value | Ref |
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| Describes Feature | Timestamp Output | [1] |
| Describes Feature | Severity Level Output | [1] |
| Rdf:type | Explanation Point | [2] |
| Rdf:type | Explanation Point | [3] |
| Describes Purpose | Runtime Tracing Purpose | [2] |
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References (3)
ctx:claims/beam/e25aa356-e232-458f-be3c-fc2b8bd7c741- full textbeam-chunktext/plain1 KB
doc:beam/e25aa356-e232-458f-be3c-fc2b8bd7c741Show excerpt
logging.error(f"Error: Metric value is negative for {self.name}") raise ValueError(f"Metric value is negative for {self.name}") return self.value # Create some sample KPIs kpi1 = KPI("Metric 1", 10) kpi2 = K…
ctx:claims/beam/3ce2beca-2c6f-43d8-bdec-3de67be8e98actx:claims/beam/59a85bc3-c979-494e-89ab-09b065bdba25- full textbeam-chunktext/plain1 KB
doc:beam/59a85bc3-c979-494e-89ab-09b065bdba25Show excerpt
average_metric_accuracy = np.mean(metric_accuracies) logging.info(f"Processed {num_tests} tests in {elapsed_time:.2f} seconds") logging.info(f"Average metric accuracy: {average_metric_accuracy}") if __name__ == "__main__": …
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