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DescribeExecutionResponse

Source code in docs_src/capo_iotsitewise/types/describe_execution_response.py
class DescribeExecutionResponse(TypedDict, closed=True):
    execution_id: "capo_iotsitewise.types.id.ID"
    """<p>The ID of the execution.</p>"""
    action_type: NotRequired["capo_iotsitewise.types.name.Name"]
    """<p>The type of action exectued.</p>"""
    target_resource: "capo_iotsitewise.types.target_resource.TargetResource"
    target_resource_version: "capo_iotsitewise.types.version.Version"
    """<p>The version of the target resource.</p>"""
    resolve_to: NotRequired["capo_iotsitewise.types.resolve_to.ResolveTo"]
    """<p>The detailed resource this execution resolves to.</p>"""
    execution_start_time: "capo_iotsitewise.types.timestamp.Timestamp"
    """<p>The time the process started.</p>"""
    execution_end_time: NotRequired["capo_iotsitewise.types.timestamp.Timestamp"]
    """<p>The time the process ended.</p>"""
    execution_status: "capo_iotsitewise.types.execution_status.ExecutionStatus"
    """<p>The status of the execution process.</p>"""
    execution_result: NotRequired[
        "capo_iotsitewise.types.execution_result.ExecutionResult"
    ]
    """<p>The result of the execution.</p>"""
    execution_details: NotRequired[
        "capo_iotsitewise.types.execution_details.ExecutionDetails"
    ]
    """<p>Provides detailed information about the execution of your anomaly detection models. This includes model metrics and training timestamps for both training and inference actions.</p> <ul> <li> <p> The training action (Amazon Web Services/ANOMALY_DETECTION_TRAINING), includes performance metrics that help you compare different versions of your anomaly detection models. These metrics provide insights into the model's performance during the training process. </p> </li> <li> <p> The inference action (Amazon Web Services/ANOMALY_DETECTION_INFERENCE), includes information about the results of executing your anomaly detection models. This helps you understand the output of your models and assess their performance. </p> </li> </ul>"""
    execution_entity_version: NotRequired["capo_iotsitewise.types.version.Version"]
    """<p>Entity version used for the execution.</p>"""

action_type instance-attribute

action_type: NotRequired[Name]

The type of action exectued.

execution_details instance-attribute

execution_details: NotRequired[ExecutionDetails]

Provides detailed information about the execution of your anomaly detection models. This includes model metrics and training timestamps for both training and inference actions.

  • The training action (Amazon Web Services/ANOMALY_DETECTION_TRAINING), includes performance metrics that help you compare different versions of your anomaly detection models. These metrics provide insights into the model's performance during the training process.

  • The inference action (Amazon Web Services/ANOMALY_DETECTION_INFERENCE), includes information about the results of executing your anomaly detection models. This helps you understand the output of your models and assess their performance.

execution_end_time instance-attribute

execution_end_time: NotRequired[Timestamp]

The time the process ended.

execution_entity_version instance-attribute

execution_entity_version: NotRequired[Version]

Entity version used for the execution.

execution_id instance-attribute

execution_id: ID

The ID of the execution.

execution_result instance-attribute

execution_result: NotRequired[ExecutionResult]

The result of the execution.

execution_start_time instance-attribute

execution_start_time: Timestamp

The time the process started.

execution_status instance-attribute

execution_status: ExecutionStatus

The status of the execution process.

resolve_to instance-attribute

resolve_to: NotRequired[ResolveTo]

The detailed resource this execution resolves to.

target_resource instance-attribute

target_resource: TargetResource

target_resource_version instance-attribute

target_resource_version: Version

The version of the target resource.