public static interface InferenceSchedulerSummary.Builder extends SdkPojo, CopyableBuilder<InferenceSchedulerSummary.Builder,InferenceSchedulerSummary>
| Modifier and Type | Method and Description |
|---|---|
InferenceSchedulerSummary.Builder |
dataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes)
A period of time (in minutes) by which inference on the data is delayed after the data starts.
|
InferenceSchedulerSummary.Builder |
dataUploadFrequency(DataUploadFrequency dataUploadFrequency)
How often data is uploaded to the source S3 bucket for the input data.
|
InferenceSchedulerSummary.Builder |
dataUploadFrequency(String dataUploadFrequency)
How often data is uploaded to the source S3 bucket for the input data.
|
InferenceSchedulerSummary.Builder |
inferenceSchedulerArn(String inferenceSchedulerArn)
The Amazon Resource Name (ARN) of the inference scheduler.
|
InferenceSchedulerSummary.Builder |
inferenceSchedulerName(String inferenceSchedulerName)
The name of the inference scheduler.
|
InferenceSchedulerSummary.Builder |
latestInferenceResult(LatestInferenceResult latestInferenceResult)
Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or
Normal (no anomalous events found).
|
InferenceSchedulerSummary.Builder |
latestInferenceResult(String latestInferenceResult)
Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or
Normal (no anomalous events found).
|
InferenceSchedulerSummary.Builder |
modelArn(String modelArn)
The Amazon Resource Name (ARN) of the ML model used by the inference scheduler.
|
InferenceSchedulerSummary.Builder |
modelName(String modelName)
The name of the ML model used for the inference scheduler.
|
InferenceSchedulerSummary.Builder |
status(InferenceSchedulerStatus status)
Indicates the status of the inference scheduler.
|
InferenceSchedulerSummary.Builder |
status(String status)
Indicates the status of the inference scheduler.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildInferenceSchedulerSummary.Builder modelName(String modelName)
The name of the ML model used for the inference scheduler.
modelName - The name of the ML model used for the inference scheduler.InferenceSchedulerSummary.Builder modelArn(String modelArn)
The Amazon Resource Name (ARN) of the ML model used by the inference scheduler.
modelArn - The Amazon Resource Name (ARN) of the ML model used by the inference scheduler.InferenceSchedulerSummary.Builder inferenceSchedulerName(String inferenceSchedulerName)
The name of the inference scheduler.
inferenceSchedulerName - The name of the inference scheduler.InferenceSchedulerSummary.Builder inferenceSchedulerArn(String inferenceSchedulerArn)
The Amazon Resource Name (ARN) of the inference scheduler.
inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler.InferenceSchedulerSummary.Builder status(String status)
Indicates the status of the inference scheduler.
status - Indicates the status of the inference scheduler.InferenceSchedulerStatus,
InferenceSchedulerStatusInferenceSchedulerSummary.Builder status(InferenceSchedulerStatus status)
Indicates the status of the inference scheduler.
status - Indicates the status of the inference scheduler.InferenceSchedulerStatus,
InferenceSchedulerStatusInferenceSchedulerSummary.Builder dataDelayOffsetInMinutes(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.
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.InferenceSchedulerSummary.Builder dataUploadFrequency(String 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.
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.DataUploadFrequency,
DataUploadFrequencyInferenceSchedulerSummary.Builder dataUploadFrequency(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.
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.DataUploadFrequency,
DataUploadFrequencyInferenceSchedulerSummary.Builder latestInferenceResult(String latestInferenceResult)
Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
latestInferenceResult - Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events
found) or Normal (no anomalous events found).LatestInferenceResult,
LatestInferenceResultInferenceSchedulerSummary.Builder latestInferenceResult(LatestInferenceResult latestInferenceResult)
Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
latestInferenceResult - Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events
found) or Normal (no anomalous events found).LatestInferenceResult,
LatestInferenceResultCopyright © 2022. All rights reserved.