Package software.amazon.awssdk.services.lookoutequipment.model

Interface CreateInferenceSchedulerRequest.Builder

All Superinterfaces:
AwsRequest.Builder, Buildable, CopyableBuilder<CreateInferenceSchedulerRequest.Builder,CreateInferenceSchedulerRequest>, LookoutEquipmentRequest.Builder, SdkBuilder<CreateInferenceSchedulerRequest.Builder,CreateInferenceSchedulerRequest>, SdkPojo, SdkRequest.Builder
Enclosing class:
CreateInferenceSchedulerRequest
public static interface CreateInferenceSchedulerRequest.Builder extends LookoutEquipmentRequest.Builder, SdkPojo, CopyableBuilder<CreateInferenceSchedulerRequest.Builder,CreateInferenceSchedulerRequest>

  • Method Details

    • modelName

      CreateInferenceSchedulerRequest.Builder modelName(String modelName)

      The name of the previously trained machine learning model being used to create the inference scheduler.

      Parameters:
      modelName - The name of the previously trained machine learning model being used to create the inference scheduler.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • inferenceSchedulerName

      CreateInferenceSchedulerRequest.Builder inferenceSchedulerName(String inferenceSchedulerName)

      The name of the inference scheduler being created.

      Parameters:
      inferenceSchedulerName - The name of the inference scheduler being created.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • dataDelayOffsetInMinutes

      CreateInferenceSchedulerRequest.Builder dataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes)

      The interval (in minutes) of planned delay at the start of each inference segment. For example, if inference is set to run every ten minutes, the delay is set to five minutes and the time is 09:08. The inference scheduler will wake up at the configured interval (which, without a delay configured, would be 09:10) plus the additional five minute delay time (so 09:15) to check your Amazon S3 bucket. The delay provides a buffer for you to upload data at the same frequency, so that you don't have to stop and restart the scheduler when uploading new data.

      For more information, see Understanding the inference process.

      Parameters:
      dataDelayOffsetInMinutes - The interval (in minutes) of planned delay at the start of each inference segment. For example, if inference is set to run every ten minutes, the delay is set to five minutes and the time is 09:08. The inference scheduler will wake up at the configured interval (which, without a delay configured, would be 09:10) plus the additional five minute delay time (so 09:15) to check your Amazon S3 bucket. The delay provides a buffer for you to upload data at the same frequency, so that you don't have to stop and restart the scheduler when uploading new data.

      For more information, see Understanding the inference process.

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • dataUploadFrequency

      CreateInferenceSchedulerRequest.Builder dataUploadFrequency(String dataUploadFrequency)

      How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data.

      For more information, see Understanding the inference process.

      Parameters:
      dataUploadFrequency - How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data.

      For more information, see Understanding the inference process.

      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • dataUploadFrequency

      CreateInferenceSchedulerRequest.Builder dataUploadFrequency(DataUploadFrequency dataUploadFrequency)

      How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data.

      For more information, see Understanding the inference process.

      Parameters:
      dataUploadFrequency - How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data.

      For more information, see Understanding the inference process.

      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • dataInputConfiguration

      CreateInferenceSchedulerRequest.Builder dataInputConfiguration(InferenceInputConfiguration dataInputConfiguration)

      Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

      Parameters:
      dataInputConfiguration - Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • dataInputConfiguration

      default CreateInferenceSchedulerRequest.Builder dataInputConfiguration(Consumer<InferenceInputConfiguration.Builder> dataInputConfiguration)

      Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

      This is a convenience method that creates an instance of the InferenceInputConfiguration.Builder avoiding the need to create one manually via InferenceInputConfiguration.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to dataInputConfiguration(InferenceInputConfiguration).

      Parameters:
      dataInputConfiguration - a consumer that will call methods on InferenceInputConfiguration.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • dataOutputConfiguration

      CreateInferenceSchedulerRequest.Builder dataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration)

      Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

      Parameters:
      dataOutputConfiguration - Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • dataOutputConfiguration

      default CreateInferenceSchedulerRequest.Builder dataOutputConfiguration(Consumer<InferenceOutputConfiguration.Builder> dataOutputConfiguration)

      Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

      This is a convenience method that creates an instance of the InferenceOutputConfiguration.Builder avoiding the need to create one manually via InferenceOutputConfiguration.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to dataOutputConfiguration(InferenceOutputConfiguration).

      Parameters:
      dataOutputConfiguration - a consumer that will call methods on InferenceOutputConfiguration.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • roleArn

      CreateInferenceSchedulerRequest.Builder roleArn(String roleArn)

      The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

      Parameters:
      roleArn - The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • serverSideKmsKeyId

      CreateInferenceSchedulerRequest.Builder serverSideKmsKeyId(String serverSideKmsKeyId)

      Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.

      Parameters:
      serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • clientToken

      CreateInferenceSchedulerRequest.Builder clientToken(String clientToken)

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

      Parameters:
      clientToken - A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • tags

      CreateInferenceSchedulerRequest.Builder tags(Collection<Tag> tags)

      Any tags associated with the inference scheduler.

      Parameters:
      tags - Any tags associated with the inference scheduler.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • tags

      CreateInferenceSchedulerRequest.Builder tags(Tag... tags)

      Any tags associated with the inference scheduler.

      Parameters:
      tags - Any tags associated with the inference scheduler.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • tags

      CreateInferenceSchedulerRequest.Builder tags(Consumer<Tag.Builder>... tags)

      Any tags associated with the inference scheduler.

      This is a convenience method that creates an instance of the Tag.Builder avoiding the need to create one manually via Tag.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to tags(List<Tag>).

      Parameters:
      tags - a consumer that will call methods on Tag.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • overrideConfiguration

      CreateInferenceSchedulerRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      overrideConfiguration - The override configuration.
      Returns:
      This object for method chaining.

    • overrideConfiguration

      CreateInferenceSchedulerRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      builderConsumer - A Consumer to which an empty AwsRequestOverrideConfiguration.Builder will be given.
      Returns:
      This object for method chaining.