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**Note:** W&B and MLflow logging are optional. If the packages are not installed, TrainCheck will skip logging and emit a warning.
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## Interpreting the Results
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After running either checking mode, TrainCheck will output a summary of detected invariant violations. Each violation entry typically includes:
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-**Invariant description**: Details the specific invariant that was violated.
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-**Violation details**: Provides context, such as the step or epoch where the violation occurred.
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Review these results to pinpoint silent errors or unexpected behaviors in your ML training pipeline. For more information on result formats and how to diagnose issues, see [5. Detection & Diagnosis](./5-min-tutorial.md#5-detection--diagnosis) in the **5-Minute Tutorial**.
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Review these results to pinpoint silent errors or unexpected behaviors in your ML training pipeline. For more information on result formats and how to diagnose issues, see [5. Detection & Diagnosis](./5-min-tutorial.md#5-detection--diagnosis) in the **5-Minute Tutorial**.
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