Class InferenceSchedulerSummary

    • Method Detail

      • modelName

        public final String modelName()

        The name of the machine learning model used for the inference scheduler.

        Returns:
        The name of the machine learning model used for the inference scheduler.
      • modelArn

        public final String modelArn()

        The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.

        Returns:
        The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.
      • inferenceSchedulerName

        public final String inferenceSchedulerName()

        The name of the inference scheduler.

        Returns:
        The name of the inference scheduler.
      • inferenceSchedulerArn

        public final String inferenceSchedulerArn()

        The Amazon Resource Name (ARN) of the inference scheduler.

        Returns:
        The Amazon Resource Name (ARN) of the inference scheduler.
      • dataDelayOffsetInMinutes

        public final Long dataDelayOffsetInMinutes()

        A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if an offset delay time of five minutes was selected, 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.

        Returns:
        A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if an offset delay time of five minutes was selected, 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.
      • dataUploadFrequency

        public final DataUploadFrequency dataUploadFrequency()

        How often data is uploaded to the source S3 bucket for the input data. This value 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.

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

        Returns:
        How often data is uploaded to the source S3 bucket for the input data. This value 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.
        See Also:
        DataUploadFrequency
      • dataUploadFrequencyAsString

        public final String dataUploadFrequencyAsString()

        How often data is uploaded to the source S3 bucket for the input data. This value 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.

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

        Returns:
        How often data is uploaded to the source S3 bucket for the input data. This value 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.
        See Also:
        DataUploadFrequency
      • latestInferenceResult

        public final LatestInferenceResult latestInferenceResult()

        Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).

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

        Returns:
        Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
        See Also:
        LatestInferenceResult
      • latestInferenceResultAsString

        public final String latestInferenceResultAsString()

        Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).

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

        Returns:
        Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
        See Also:
        LatestInferenceResult
      • hashCode

        public final int hashCode()
        Overrides:
        hashCode in class Object
      • equals

        public final boolean equals​(Object obj)
        Overrides:
        equals in class Object
      • 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
      • getValueForField

        public final <T> Optional<T> getValueForField​(String fieldName,
                                                      Class<T> clazz)