Class CreateRetrainingSchedulerRequest

    • Method Detail

      • modelName

        public final String modelName()

        The name of the model to add the retraining scheduler to.

        Returns:
        The name of the model to add the retraining scheduler to.
      • retrainingStartDate

        public final Instant retrainingStartDate()

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

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

        public final String retrainingFrequency()

        This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:

        • P3M15D – Every 3 months and 15 days

        • P2M – Every 2 months

        • P150D – Every 150 days

        Returns:
        This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:

        • P3M15D – Every 3 months and 15 days

        • P2M – Every 2 months

        • P150D – Every 150 days

      • lookbackWindow

        public final String lookbackWindow()

        The number of past days of data that will be used for retraining.

        Returns:
        The number of past days of data that will be used for retraining.
      • promoteMode

        public final ModelPromoteMode promoteMode()

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

        If the service returns an enum value that is not available in the current SDK version, promoteMode will return ModelPromoteMode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from promoteModeAsString().

        Returns:
        Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.
        See Also:
        ModelPromoteMode
      • promoteModeAsString

        public final String promoteModeAsString()

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

        If the service returns an enum value that is not available in the current SDK version, promoteMode will return ModelPromoteMode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from promoteModeAsString().

        Returns:
        Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.
        See Also:
        ModelPromoteMode
      • clientToken

        public final String clientToken()

        A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

        Returns:
        A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
      • toString

        public final String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object