| Column Name | Column Data Type |
|---|
inference_scheduler_name Required Input Column
The name of the inference scheduler being described. | 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 |
created_at
Specifies the time at which the inference scheduler was created. | TIMESTAMP_S |
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. | BIGINT |
data_input_configuration
Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location. | STRUCT(
"s3_input_configuration" STRUCT(
"bucket" VARCHAR,
"prefix" VARCHAR
),
"input_time_zone_offset" VARCHAR,
"inference_input_name_configuration" STRUCT(
"timestamp_format" VARCHAR,
"component_timestamp_delimiter" VARCHAR
)
) |
Show child fields- data_input_configuration.inference_input_name_configuration
Specifies configuration information for the input data for the inference, including timestamp format and delimiter. Show child fields- data_input_configuration.inference_input_name_configuration.component_timestamp_delimiter
Indicates the delimiter character used between items in the data. - data_input_configuration.inference_input_name_configuration.timestamp_format
The format of the timestamp, whether Epoch time, or standard, with or without hyphens (-).
- data_input_configuration.input_time_zone_offset
Indicates the difference between your time zone and Coordinated Universal Time (UTC). - data_input_configuration.s3_input_configuration
Specifies configuration information for the input data for the inference, including Amazon S3 location of input data. Show child fields- data_input_configuration.s3_input_configuration.bucket
The bucket containing the input dataset for the inference. - data_input_configuration.s3_input_configuration.prefix
The prefix for the S3 bucket used for the input data for the inference.
|
data_output_configuration
Specifies information for the output results for the inference scheduler, including the output S3 location. | STRUCT(
"s3_output_configuration" STRUCT(
"bucket" VARCHAR,
"prefix" VARCHAR
),
"kms_key_id" VARCHAR
) |
Show child fields- data_output_configuration.kms_key_id
The ID number for the KMS key key used to encrypt the inference output. - data_output_configuration.s3_output_configuration
Specifies configuration information for the output results from for the inference, output S3 location. Show child fields- data_output_configuration.s3_output_configuration.bucket
The bucket containing the output results from the inference - data_output_configuration.s3_output_configuration.prefix
The prefix for the S3 bucket used for the output results from the inference.
|
data_upload_frequency
Specifies 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. | VARCHAR |
inference_scheduler_arn
The Amazon Resource Name (ARN) of the inference scheduler being described. | VARCHAR |
latest_inference_result
Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found). | VARCHAR |
model_arn
The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described. | VARCHAR |
model_name
The name of the machine learning model of the inference scheduler being described. | VARCHAR |
role_arn
The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described. | VARCHAR |
server_side_kms_key_id
Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment. | VARCHAR |
status
Indicates the status of the inference scheduler. | VARCHAR |
updated_at
Specifies the time at which the inference scheduler was last updated, if it was. | TIMESTAMP_S |