You are viewing documentation for version 2 of the AWS SDK for Ruby. Version 3 documentation can be found here.
Class: Aws::ForecastService::Types::DescribeDatasetImportJobResponse
- Inherits:
-
Struct
- Object
- Struct
- Aws::ForecastService::Types::DescribeDatasetImportJobResponse
- Defined in:
- (unknown)
Overview
Returned by:
Instance Attribute Summary collapse
-
#creation_time ⇒ Time
When the dataset import job was created.
-
#data_size ⇒ Float
The size of the dataset in gigabytes (GB) after the import job has finished.
-
#data_source ⇒ Types::DataSource
The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.
-
#dataset_arn ⇒ String
The Amazon Resource Name (ARN) of the dataset that the training data was imported to.
-
#dataset_import_job_arn ⇒ String
The ARN of the dataset import job.
-
#dataset_import_job_name ⇒ String
The name of the dataset import job.
-
#field_statistics ⇒ Hash<String,Types::Statistics>
Statistical information about each field in the input data.
-
#last_modification_time ⇒ Time
The last time that the dataset was modified.
-
#message ⇒ String
If an error occurred, an informational message about the error.
-
#status ⇒ String
The status of the dataset import job.
-
#timestamp_format ⇒ String
The format of timestamps in the dataset.
Instance Attribute Details
#creation_time ⇒ Time
When the dataset import job was created.
#data_size ⇒ Float
The size of the dataset in gigabytes (GB) after the import job has finished.
#data_source ⇒ Types::DataSource
The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.
If encryption is used, DataSource
includes an AWS Key Management
Service (KMS) key.
#dataset_arn ⇒ String
The Amazon Resource Name (ARN) of the dataset that the training data was imported to.
#dataset_import_job_arn ⇒ String
The ARN of the dataset import job.
#dataset_import_job_name ⇒ String
The name of the dataset import job.
#field_statistics ⇒ Hash<String,Types::Statistics>
Statistical information about each field in the input data.
#last_modification_time ⇒ Time
The last time that the dataset was modified. The time depends on the status of the job, as follows:
CREATE_PENDING
- The same time asCreationTime
.CREATE_IN_PROGRESS
- The current timestamp.ACTIVE
orCREATE_FAILED
- When the job finished or failed.
#message ⇒ String
If an error occurred, an informational message about the error.
#status ⇒ String
The status of the dataset import job. The status is reflected in the
status of the dataset. For example, when the import job status is
CREATE_IN_PROGRESS
, the status of the dataset is UPDATE_IN_PROGRESS
.
States include:
ACTIVE
CREATE_PENDING
,CREATE_IN_PROGRESS
,CREATE_FAILED
DELETE_PENDING
,DELETE_IN_PROGRESS
,DELETE_FAILED
#timestamp_format ⇒ String
The format of timestamps in the dataset. The format that you specify
depends on the DataFrequency
specified when the dataset was created.
The following formats are supported
\"yyyy-MM-dd\"
For the following data frequencies: Y, M, W, and D
\"yyyy-MM-dd HH:mm:ss\"
For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D