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UpdateInferenceSchedulerRequest

Source code in docs_src/capo_lookoutequipment/types/update_inference_scheduler_request.py
class UpdateInferenceSchedulerRequest(TypedDict, closed=True):
    inference_scheduler_name: "capo_lookoutequipment.types.inference_scheduler_identifier.InferenceSchedulerIdentifier"
    """<p>The name of the inference scheduler to be updated. </p>"""
    data_delay_offset_in_minutes: NotRequired[
        "capo_lookoutequipment.types.data_delay_offset_in_minutes.DataDelayOffsetInMinutes"
    ]
    """<p> A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.</p>"""
    data_upload_frequency: NotRequired[
        "capo_lookoutequipment.types.data_upload_frequency.DataUploadFrequency"
    ]
    """<p>How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes. </p>"""
    data_input_configuration: NotRequired[
        "capo_lookoutequipment.types.inference_input_configuration.InferenceInputConfiguration"
    ]
    """<p> Specifies 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 information for the output results from the inference scheduler, including the output S3 location. </p>"""
    role_arn: NotRequired["capo_lookoutequipment.types.iam_role_arn.IamRoleArn"]
    """<p> The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler. </p>"""

data_delay_offset_in_minutes instance-attribute

data_delay_offset_in_minutes: NotRequired[DataDelayOffsetInMinutes]

A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

data_input_configuration instance-attribute

data_input_configuration: NotRequired[InferenceInputConfiguration]

Specifies 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 information for the output results from the inference scheduler, including the output S3 location.

data_upload_frequency instance-attribute

data_upload_frequency: NotRequired[DataUploadFrequency]

How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

inference_scheduler_name instance-attribute

inference_scheduler_name: InferenceSchedulerIdentifier

The name of the inference scheduler to be updated.

role_arn instance-attribute

role_arn: NotRequired[IamRoleArn]

The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler.