| Column Name | Column Data Type |
|---|
inference_scheduler_name_begins_with Input Column
The beginning of the name of the inference schedulers to be listed. | VARCHAR |
max_results Input Column
Specifies the maximum number of inference schedulers to list. | BIGINT |
model_name Input Column
The name of the machine learning model used by the inference scheduler to be listed. | VARCHAR |
next_token Input Column
An opaque pagination token indicating where to continue the listing of inference schedulers. | VARCHAR |
status Input Column
Specifies the current status of the inference schedulers. | VARCHAR |
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
_aws_region Input Column
The AWS region to use. | VARCHAR |
inference_scheduler_summaries
Provides information about the specified inference scheduler, including data upload frequency, model name and ARN, and status. | STRUCT(
"model_name" VARCHAR,
"model_arn" VARCHAR,
"inference_scheduler_name" VARCHAR,
"inference_scheduler_arn" VARCHAR,
"status" VARCHAR,
"data_delay_offset_in_minutes" BIGINT,
"data_upload_frequency" VARCHAR,
"latest_inference_result" VARCHAR
)[] |
Show child fields- inference_scheduler_summaries[]
Show child fields- inference_scheduler_summaries[].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 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. - inference_scheduler_summaries[].data_upload_frequency
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. - inference_scheduler_summaries[].inference_scheduler_arn
The Amazon Resource Name (ARN) of the inference scheduler. - inference_scheduler_summaries[].inference_scheduler_name
The name of the inference scheduler. - inference_scheduler_summaries[].latest_inference_result
Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found). - inference_scheduler_summaries[].model_arn
The Amazon Resource Name (ARN) of the machine learning model used by the inference scheduler. - inference_scheduler_summaries[].model_name
The name of the machine learning model used for the inference scheduler. - inference_scheduler_summaries[].status
Indicates the status of the inference scheduler.
|