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DescribeRetrainingSchedulerResponse

Source code in docs_src/capo_lookoutequipment/types/describe_retraining_scheduler_response.py 
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class DescribeRetrainingSchedulerResponse(TypedDict, closed=True):
    model_name: NotRequired["capo_lookoutequipment.types.model_name.ModelName"]
    """<p>The name of the model that the retraining scheduler is attached to. </p>"""
    model_arn: NotRequired["capo_lookoutequipment.types.model_arn.ModelArn"]
    """<p>The ARN of the model that the retraining scheduler is attached to. </p>"""
    retraining_start_date: NotRequired[
        "capo_lookoutequipment.types.timestamp.Timestamp"
    ]
    """<p>The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.</p>"""
    retraining_frequency: NotRequired[
        "capo_lookoutequipment.types.retraining_frequency.RetrainingFrequency"
    ]
    """<p>The frequency at which the model retraining is set. This follows the <a href="https://en.wikipedia.org/wiki/ISO_8601#Durations">ISO 8601</a> guidelines.</p>"""
    lookback_window: NotRequired[
        "capo_lookoutequipment.types.lookback_window.LookbackWindow"
    ]
    """<p>The number of past days of data used for retraining.</p>"""
    status: NotRequired[
        "capo_lookoutequipment.types.retraining_scheduler_status.RetrainingSchedulerStatus"
    ]
    """<p>The status of the retraining scheduler. </p>"""
    promote_mode: NotRequired[
        "capo_lookoutequipment.types.model_promote_mode.ModelPromoteMode"
    ]
    """<p>Indicates how the service uses new models. In <code>MANAGED</code> mode, new models are used for inference if they have better performance than the current model. In <code>MANUAL</code> mode, the new models are not used until they are <a href="https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/versioning-model.html#model-activation">manually activated</a>.</p>"""
    created_at: NotRequired["capo_lookoutequipment.types.timestamp.Timestamp"]
    """<p>Indicates the time and date at which the retraining scheduler was created. </p>"""
    updated_at: NotRequired["capo_lookoutequipment.types.timestamp.Timestamp"]
    """<p>Indicates the time and date at which the retraining scheduler was updated. </p>"""

created_at instance-attribute 

created_at: NotRequired[Timestamp]

Indicates the time and date at which the retraining scheduler was created.

lookback_window instance-attribute 

lookback_window: NotRequired[LookbackWindow]

The number of past days of data used for retraining.

model_arn instance-attribute 

model_arn: NotRequired[ModelArn]

The ARN of the model that the retraining scheduler is attached to.

model_name instance-attribute 

model_name: NotRequired[ModelName]

The name of the model that the retraining scheduler is attached to.

promote_mode instance-attribute 

promote_mode: NotRequired[ModelPromoteMode]

Indicates how the service uses new models. In MANAGED mode, new models are used for inference if they have better performance than the current model. In MANUAL mode, the new models are not used until they are manually activated.

retraining_frequency instance-attribute 

retraining_frequency: NotRequired[RetrainingFrequency]

The frequency at which the model retraining is set. This follows the ISO 8601 guidelines.

retraining_start_date instance-attribute 

retraining_start_date: NotRequired[Timestamp]

The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.

status instance-attribute 

status: NotRequired[RetrainingSchedulerStatus]

The status of the retraining scheduler.

updated_at instance-attribute 

updated_at: NotRequired[Timestamp]

Indicates the time and date at which the retraining scheduler was updated.