DataSource ¶

class DataSource(TypedDict, closed=True):
    data_source_id: NotRequired["capo_machine_learning.types.entity_id.EntityId"]
    """<p>The ID that is assigned to the <code>DataSource</code> during creation.</p>"""
    data_location_s3: NotRequired["capo_machine_learning.types.s3_url.S3Url"]
    """<p>The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a <code>DataSource</code>.</p>"""
    data_rearrangement: NotRequired[
        "capo_machine_learning.types.data_rearrangement.DataRearrangement"
    ]
    """<p>A JSON string that represents the splitting and rearrangement requirement used when this <code>DataSource</code> was created.</p>"""
    created_by_iam_user: NotRequired[
        "capo_machine_learning.types.aws_user_arn.AwsUserArn"
    ]
    """<p>The AWS user account from which the <code>DataSource</code> was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.</p>"""
    created_at: NotRequired["capo_machine_learning.types.epoch_time.EpochTime"]
    """<p>The time that the <code>DataSource</code> was created. The time is expressed in epoch time.</p>"""
    last_updated_at: NotRequired["capo_machine_learning.types.epoch_time.EpochTime"]
    """<p>The time of the most recent edit to the <code>BatchPrediction</code>. The time is expressed in epoch time.</p>"""
    data_size_in_bytes: NotRequired["capo_machine_learning.types.long_type.LongType"]
    """<p>The total number of observations contained in the data files that the <code>DataSource</code> references.</p>"""
    number_of_files: NotRequired["capo_machine_learning.types.long_type.LongType"]
    """<p>The number of data files referenced by the <code>DataSource</code>.</p>"""
    name: NotRequired["capo_machine_learning.types.entity_name.EntityName"]
    """<p>A user-supplied name or description of the <code>DataSource</code>.</p>"""
    status: NotRequired["capo_machine_learning.types.entity_status.EntityStatus"]
    """<p>The current status of the <code>DataSource</code>. This element can have one of the following values: </p> <ul> <li> <p>PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a <code>DataSource</code>.</p> </li> <li> <p>INPROGRESS - The creation process is underway.</p> </li> <li> <p>FAILED - The request to create a <code>DataSource</code> did not run to completion. It is not usable.</p> </li> <li> <p>COMPLETED - The creation process completed successfully.</p> </li> <li> <p>DELETED - The <code>DataSource</code> is marked as deleted. It is not usable.</p> </li> </ul>"""
    message: NotRequired["capo_machine_learning.types.message.Message"]
    """<p>A description of the most recent details about creating the <code>DataSource</code>.</p>"""
    redshift_metadata: NotRequired[
        "capo_machine_learning.types.redshift_metadata.RedshiftMetadata"
    ]
    rds_metadata: NotRequired["capo_machine_learning.types.rds_metadata.RDSMetadata"]
    role_arn: NotRequired["capo_machine_learning.types.role_arn.RoleARN"]
    compute_statistics: (
        "capo_machine_learning.types.compute_statistics.ComputeStatistics"
    )
    """<p> The parameter is <code>true</code> if statistics need to be generated from the observation data. </p>"""
    compute_time: NotRequired["capo_machine_learning.types.long_type.LongType"]
    finished_at: NotRequired["capo_machine_learning.types.epoch_time.EpochTime"]
    started_at: NotRequired["capo_machine_learning.types.epoch_time.EpochTime"]