在生产模型中检查特征属性偏差的报告 - Amazon SageMaker
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在生产模型中检查特征属性偏差的报告

在您设置的计划默认启动后,您需要等待其第一次执行开始,然后停止计划以避免产生费用。

要检查报告,请使用以下代码:

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

如果与基准相比存在任何违规情况,此处将列出它们:

if last_model_explainability_monitor_execution: model_explainability_violations = last_model_explainability_monitor_execution.constraint_violations() if model_explainability_violations: print(model_explainability_violations.body_dict)

在 SageMaker Studio 中,您可以通过选择 CloudWatchEndpoints 选项卡,然后双击终端节点来查看分析结果和指标的可视化。