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InferenceExecutionSummary

Source code in docs_src/capo_lookoutequipment/types/inference_execution_summary.py
class InferenceExecutionSummary(TypedDict, closed=True):
    model_name: NotRequired["capo_lookoutequipment.types.model_name.ModelName"]
    """<p>The name of the machine learning model being used for the inference execution. </p>"""
    model_arn: NotRequired["capo_lookoutequipment.types.model_arn.ModelArn"]
    """<p>The Amazon Resource Name (ARN) of the machine learning model used for the inference execution. </p>"""
    inference_scheduler_name: NotRequired[
        "capo_lookoutequipment.types.inference_scheduler_name.InferenceSchedulerName"
    ]
    """<p>The name of the inference scheduler being used for the inference execution. </p>"""
    inference_scheduler_arn: NotRequired[
        "capo_lookoutequipment.types.inference_scheduler_arn.InferenceSchedulerArn"
    ]
    """<p> The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution. </p>"""
    scheduled_start_time: NotRequired["capo_lookoutequipment.types.timestamp.Timestamp"]
    """<p>Indicates the start time at which the inference scheduler began the specific inference execution. </p>"""
    data_start_time: NotRequired["capo_lookoutequipment.types.timestamp.Timestamp"]
    """<p>Indicates the time reference in the dataset at which the inference execution began. </p>"""
    data_end_time: NotRequired["capo_lookoutequipment.types.timestamp.Timestamp"]
    """<p>Indicates the time reference in the dataset at which the inference execution stopped. </p>"""
    data_input_configuration: NotRequired[
        "capo_lookoutequipment.types.inference_input_configuration.InferenceInputConfiguration"
    ]
    """<p> Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location. </p>"""
    data_output_configuration: NotRequired[
        "capo_lookoutequipment.types.inference_output_configuration.InferenceOutputConfiguration"
    ]
    """<p> Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location. </p>"""
    customer_result_object: NotRequired[
        "capo_lookoutequipment.types.s3_object.S3Object"
    ]
    """<p>The S3 object that the inference execution results were uploaded to.</p>"""
    status: NotRequired[
        "capo_lookoutequipment.types.inference_execution_status.InferenceExecutionStatus"
    ]
    """<p>Indicates the status of the inference execution. </p>"""
    failed_reason: NotRequired[
        "capo_lookoutequipment.types.bounded_length_string.BoundedLengthString"
    ]
    """<p> Specifies the reason for failure when an inference execution has failed. </p>"""
    model_version: NotRequired["capo_lookoutequipment.types.model_version.ModelVersion"]
    """<p>The model version used for the inference execution.</p>"""
    model_version_arn: NotRequired[
        "capo_lookoutequipment.types.model_version_arn.ModelVersionArn"
    ]
    """<p>The Amazon Resource Number (ARN) of the model version used for the inference execution.</p>"""

customer_result_object instance-attribute

customer_result_object: NotRequired[S3Object]

The S3 object that the inference execution results were uploaded to.

data_end_time instance-attribute

data_end_time: NotRequired[Timestamp]

Indicates the time reference in the dataset at which the inference execution stopped.

data_input_configuration instance-attribute

data_input_configuration: NotRequired[InferenceInputConfiguration]

Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

data_output_configuration instance-attribute

data_output_configuration: NotRequired[InferenceOutputConfiguration]

Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.

data_start_time instance-attribute

data_start_time: NotRequired[Timestamp]

Indicates the time reference in the dataset at which the inference execution began.

failed_reason instance-attribute

failed_reason: NotRequired[BoundedLengthString]

Specifies the reason for failure when an inference execution has failed.

inference_scheduler_arn instance-attribute

inference_scheduler_arn: NotRequired[InferenceSchedulerArn]

The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.

inference_scheduler_name instance-attribute

inference_scheduler_name: NotRequired[InferenceSchedulerName]

The name of the inference scheduler being used for the inference execution.

model_arn instance-attribute

model_arn: NotRequired[ModelArn]

The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.

model_name instance-attribute

model_name: NotRequired[ModelName]

The name of the machine learning model being used for the inference execution.

model_version instance-attribute

model_version: NotRequired[ModelVersion]

The model version used for the inference execution.

model_version_arn instance-attribute

model_version_arn: NotRequired[ModelVersionArn]

The Amazon Resource Number (ARN) of the model version used for the inference execution.

scheduled_start_time instance-attribute

scheduled_start_time: NotRequired[Timestamp]

Indicates the start time at which the inference scheduler began the specific inference execution.

status instance-attribute

status: NotRequired[InferenceExecutionStatus]

Indicates the status of the inference execution.