class Aws::LookoutEquipment::Types::CreateInferenceSchedulerRequest
@note When making an API call, you may pass CreateInferenceSchedulerRequest
data as a hash: { model_name: "ModelName", # required inference_scheduler_name: "InferenceSchedulerName", # required data_delay_offset_in_minutes: 1, data_upload_frequency: "PT5M", # required, accepts PT5M, PT10M, PT15M, PT30M, PT1H data_input_configuration: { # required s3_input_configuration: { bucket: "S3Bucket", # required prefix: "S3Prefix", }, input_time_zone_offset: "TimeZoneOffset", inference_input_name_configuration: { timestamp_format: "FileNameTimestampFormat", component_timestamp_delimiter: "ComponentTimestampDelimiter", }, }, data_output_configuration: { # required s3_output_configuration: { # required bucket: "S3Bucket", # required prefix: "S3Prefix", }, kms_key_id: "NameOrArn", }, role_arn: "IamRoleArn", # required server_side_kms_key_id: "NameOrArn", client_token: "IdempotenceToken", # required tags: [ { key: "TagKey", # required value: "TagValue", # required }, ], }
@!attribute [rw] model_name
The name of the previously trained ML model being used to create the inference scheduler. @return [String]
@!attribute [rw] inference_scheduler_name
The name of the inference scheduler being created. @return [String]
@!attribute [rw] data_delay_offset_in_minutes
A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, 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. @return [Integer]
@!attribute [rw] data_upload_frequency
How often data is uploaded to the source 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 starts a scheduled inference on your data. In this example, it starts once every 5 minutes. @return [String]
@!attribute [rw] data_input_configuration
Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location. @return [Types::InferenceInputConfiguration]
@!attribute [rw] data_output_configuration
Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output. @return [Types::InferenceOutputConfiguration]
@!attribute [rw] role_arn
The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference. @return [String]
@!attribute [rw] server_side_kms_key_id
Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment. @return [String]
@!attribute [rw] client_token
A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one. **A suitable default value is auto-generated.** You should normally not need to pass this option. @return [String]
@!attribute [rw] tags
Any tags associated with the inference scheduler. @return [Array<Types::Tag>]
@see docs.aws.amazon.com/goto/WebAPI/lookoutequipment-2020-12-15/CreateInferenceSchedulerRequest AWS API Documentation
Constants
- SENSITIVE