本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

# 檢查報告中的資料偏差偏離
<a name="clarify-model-monitor-bias-drift-report"></a>

如果您無法在 SageMaker Studio 中所產生的報告中檢查監控結果，您可以將其列印出來，如下所示：

```
schedule_desc = model_bias_monitor.describe_schedule()
execution_summary = schedule_desc.get("LastMonitoringExecutionSummary")
if execution_summary and execution_summary["MonitoringExecutionStatus"] in ["Completed", "CompletedWithViolations"]:
    last_model_bias_monitor_execution = model_bias_monitor.list_executions()[-1]
    last_model_bias_monitor_execution_report_uri = last_model_bias_monitor_execution.output.destination
    print(f'Report URI: {last_model_bias_monitor_execution_report_uri}')
    last_model_bias_monitor_execution_report_files = sorted(S3Downloader.list(last_model_bias_monitor_execution_report_uri))
    print("Found Report Files:")
    print("\n ".join(last_model_bias_monitor_execution_report_files))
else:
    last_model_bias_monitor_execution = None
    print("====STOP==== \n No completed executions to inspect further. Please wait till an execution completes or investigate previously reported failures.")
```

 如果與基準相比存在違規，則會在此列出：

```
if last_model_bias_monitor_execution:
    model_bias_violations = last_model_bias_monitor_execution.constraint_violations()
    if model_bias_violations:
        print(model_bias_violations.body_dict)
```

如果您的模型部署到即時端點，您可以選擇**端點**索引標籤，然後按兩下端點，在 SageMaker AI Studio 中查看分析結果和 CloudWatch 指標的視覺效果。