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Showing content from https://docs.aws.amazon.com/sdkforruby/api/Aws/MachineLearning/Types/DataSource.html below:

DataSource — AWS SDK for Ruby V2

You are viewing documentation for version 2 of the AWS SDK for Ruby. Version 3 documentation can be found here.

Class: Aws::MachineLearning::Types::DataSource

Inherits:

Struct

Object
Struct
Aws::MachineLearning::Types::DataSource

show all

Defined in:: (unknown)

Overview

Represents the output of the GetDataSource operation.

The content consists of the detailed metadata and data file information and the current status of the DataSource.

Instance Attribute Summary collapse

#compute_statistics ⇒ Boolean The parameter is true if statistics need to be generated from the observation data.
#compute_time ⇒ Integer Long integer type that is a 64-bit signed number. .
#created_at ⇒ Time The time that the DataSource was created.
#created_by_iam_user ⇒ String The AWS user account from which the DataSource was created.
#data_location_s3 ⇒ String The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.
#data_rearrangement ⇒ String A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.
#data_size_in_bytes ⇒ Integer The total number of observations contained in the data files that the DataSource references.
#data_source_id ⇒ String The ID that is assigned to the DataSource during creation.
#finished_at ⇒ Time A timestamp represented in epoch time. .
#last_updated_at ⇒ Time The time of the most recent edit to the BatchPrediction.
#message ⇒ String A description of the most recent details about creating the DataSource.
#name ⇒ String A user-supplied name or description of the DataSource.
#number_of_files ⇒ Integer The number of data files referenced by the DataSource.
#rds_metadata ⇒ Types::RDSMetadata The datasource details that are specific to Amazon RDS. .
#redshift_metadata ⇒ Types::RedshiftMetadata Describes the DataSource details specific to Amazon Redshift. .
#role_arn ⇒ String The Amazon Resource Name (ARN) of an AWS IAM Role, such as the following: arn:aws:iam::account:role/rolename.
#started_at ⇒ Time A timestamp represented in epoch time. .
#status ⇒ String The current status of the DataSource.

Instance Attribute Details #compute_statistics ⇒ Boolean

The parameter is true if statistics need to be generated from the observation data.

#compute_time ⇒ Integer

Long integer type that is a 64-bit signed number.

#created_at ⇒ Time

The time that the DataSource was created. The time is expressed in epoch time.

#created_by_iam_user ⇒ String

The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

#data_location_s3 ⇒ String

The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.

#data_rearrangement ⇒ String

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

#data_size_in_bytes ⇒ Integer

The total number of observations contained in the data files that the DataSource references.

#data_source_id ⇒ String

The ID that is assigned to the DataSource during creation.

#finished_at ⇒ Time

A timestamp represented in epoch time.

#last_updated_at ⇒ Time

The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.

#message ⇒ String

A description of the most recent details about creating the DataSource.

#name ⇒ String

A user-supplied name or description of the DataSource.

#number_of_files ⇒ Integer

The number of data files referenced by the DataSource.

#rds_metadata ⇒ Types::RDSMetadata

The datasource details that are specific to Amazon RDS.

#role_arn ⇒ String

The Amazon Resource Name (ARN) of an AWS IAM Role, such as the following: arn:aws:iam::account:role/rolename.

#started_at ⇒ Time

A timestamp represented in epoch time.

#status ⇒ String

The current status of the DataSource. This element can have one of the following values:

PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a DataSource.
INPROGRESS - The creation process is underway.
FAILED - The request to create a DataSource did not run to completion. It is not usable.
COMPLETED - The creation process completed successfully.
DELETED - The DataSource is marked as deleted. It is not usable.
Possible values:
- PENDING
- INPROGRESS
- FAILED
- COMPLETED
- DELETED

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