TimeSeriesConfig ¶

class TimeSeriesConfig(TypedDict, closed=True):
    target_attribute_name: NotRequired[
        "capo_sagemaker.types.target_attribute_name.TargetAttributeName"
    ]
    """<p>The name of the column representing the target variable that you want to predict for each item in your dataset. The data type of the target variable must be numerical.</p>"""
    timestamp_attribute_name: NotRequired[
        "capo_sagemaker.types.timestamp_attribute_name.TimestampAttributeName"
    ]
    """<p>The name of the column indicating a point in time at which the target value of a given item is recorded.</p>"""
    item_identifier_attribute_name: NotRequired[
        "capo_sagemaker.types.item_identifier_attribute_name.ItemIdentifierAttributeName"
    ]
    """<p>The name of the column that represents the set of item identifiers for which you want to predict the target value.</p>"""
    grouping_attribute_names: NotRequired[
        "capo_sagemaker.types.grouping_attribute_names.GroupingAttributeNames"
    ]
    """<p>A set of columns names that can be grouped with the item identifier column to create a composite key for which a target value is predicted.</p>"""