| Column Name | Column Data Type |
|---|
forecast_arn Required Input Column
The forecast ARN as specified in the request. | 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 |
creation_time
When the forecast creation task was created. | TIMESTAMP_S |
dataset_group_arn
The ARN of the dataset group that provided the data used to train the predictor. | VARCHAR |
estimated_time_remaining_in_minutes
The estimated time remaining in minutes for the forecast job to complete. | BIGINT |
forecast_name
The name of the forecast. | VARCHAR |
forecast_types
The quantiles at which probabilistic forecasts were generated. | VARCHAR[] |
Show child fields- forecast_types[]
|
last_modification_time
The last time the resource was modified. The timestamp depends on the status of the job: -
CREATE_PENDING - The CreationTime. -
CREATE_IN_PROGRESS - The current timestamp. -
CREATE_STOPPING - The current timestamp. -
CREATE_STOPPED - When the job stopped. -
ACTIVE or CREATE_FAILED - When the job finished or failed. | TIMESTAMP_S |
message
If an error occurred, an informational message about the error. | VARCHAR |
predictor_arn
The ARN of the predictor used to generate the forecast. | VARCHAR |
status
The status of the forecast. States include: -
ACTIVE -
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED -
CREATE_STOPPING, CREATE_STOPPED -
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED The Status of the forecast must be ACTIVE before you can query or export the forecast. | VARCHAR |
time_series_selector
The time series to include in the forecast. | STRUCT(
"time_series_identifiers" STRUCT(
"data_source" STRUCT(
"s3_config" STRUCT(
"path" VARCHAR,
"role_arn" VARCHAR,
"kms_key_arn" VARCHAR
)
),
"schema" STRUCT(
"attributes" STRUCT(
"attribute_name" VARCHAR,
"attribute_type" VARCHAR
)[]
),
"format" VARCHAR
)
) |
Show child fields- time_series_selector.time_series_identifiers
Details about the import file that contains the time series for which you want to create forecasts. Show child fields- time_series_selector.time_series_identifiers.data_source
The source of your data, an Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an Key Management Service (KMS) key. Show child fields- time_series_selector.time_series_identifiers.data_source.s3_config
The path to the data stored in an Amazon Simple Storage Service (Amazon S3) bucket along with the credentials to access the data. Show child fields- time_series_selector.time_series_identifiers.data_source.s3_config.kms_key_arn
The Amazon Resource Name (ARN) of an Key Management Service (KMS) key. - time_series_selector.time_series_identifiers.data_source.s3_config.path
The path to an Amazon Simple Storage Service (Amazon S3) bucket or file(s) in an Amazon S3 bucket. - time_series_selector.time_series_identifiers.data_source.s3_config.role_arn
The ARN of the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket or files. If you provide a value for the KMSKeyArn key, the role must allow access to the key. Passing a role across Amazon Web Services accounts is not allowed. If you pass a role that isn't in your account, you get an InvalidInputException error.
- time_series_selector.time_series_identifiers.format
The format of the data, either CSV or PARQUET. - time_series_selector.time_series_identifiers.schema
Defines the fields of a dataset. Show child fields- time_series_selector.time_series_identifiers.schema.attributes[]
Show child fields- time_series_selector.time_series_identifiers.schema.attributes[].attribute_name
The name of the dataset field. - time_series_selector.time_series_identifiers.schema.attributes[].attribute_type
The data type of the field. For a related time series dataset, other than date, item_id, and forecast dimensions attributes, all attributes should be of numerical type (integer/float).
|