Class InferenceSchedulerSummary
- All Implemented Interfaces:
Serializable
,SdkPojo
,ToCopyableBuilder<InferenceSchedulerSummary.Builder,
InferenceSchedulerSummary>
Contains information about the specific inference scheduler, including data delay offset, model name and ARN, status, and so on.
- See Also:
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Nested Class Summary
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Method Summary
Modifier and TypeMethodDescriptionbuilder()
final Long
A period of time (in minutes) by which inference on the data is delayed after the data starts.final DataUploadFrequency
How often data is uploaded to the source S3 bucket for the input data.final String
How often data is uploaded to the source S3 bucket for the input data.final boolean
final boolean
equalsBySdkFields
(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional
<T> getValueForField
(String fieldName, Class<T> clazz) final int
hashCode()
final String
The Amazon Resource Name (ARN) of the inference scheduler.final String
The name of the inference scheduler.final LatestInferenceResult
Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).final String
Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).final String
modelArn()
The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler.final String
The name of the machine learning model used for the inference scheduler.static Class
<? extends InferenceSchedulerSummary.Builder> final InferenceSchedulerStatus
status()
Indicates the status of the inference scheduler.final String
Indicates the status of the inference scheduler.Take this object and create a builder that contains all of the current property values of this object.final String
toString()
Returns a string representation of this object.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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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.
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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.
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inferenceSchedulerName
The name of the inference scheduler.
- Returns:
- The name of the inference scheduler.
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inferenceSchedulerArn
The Amazon Resource Name (ARN) of the inference scheduler.
- Returns:
- The Amazon Resource Name (ARN) of the inference scheduler.
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status
Indicates the status of the inference scheduler.
If the service returns an enum value that is not available in the current SDK version,
status
will returnInferenceSchedulerStatus.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromstatusAsString()
.- Returns:
- Indicates the status of the inference scheduler.
- See Also:
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statusAsString
Indicates the status of the inference scheduler.
If the service returns an enum value that is not available in the current SDK version,
status
will returnInferenceSchedulerStatus.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromstatusAsString()
.- Returns:
- Indicates the status of the inference scheduler.
- See Also:
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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.
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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 returnDataUploadFrequency.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromdataUploadFrequencyAsString()
.- 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:
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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 returnDataUploadFrequency.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromdataUploadFrequencyAsString()
.- 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:
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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 returnLatestInferenceResult.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromlatestInferenceResultAsString()
.- Returns:
- Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
- See Also:
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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 returnLatestInferenceResult.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromlatestInferenceResultAsString()
.- Returns:
- Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).
- See Also:
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toBuilder
Description copied from interface:ToCopyableBuilder
Take this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilder
in interfaceToCopyableBuilder<InferenceSchedulerSummary.Builder,
InferenceSchedulerSummary> - Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
public final int hashCode() -
equals
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equalsBySdkFields
Description copied from interface:SdkPojo
Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojo
class, and is generated based on a service model.If an
SdkPojo
class does not have any inherited fields,equalsBySdkFields
andequals
are essentially the same.- Specified by:
equalsBySdkFields
in interfaceSdkPojo
- Parameters:
obj
- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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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. -
getValueForField
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sdkFields
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