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TimeSeriesTransformations

Source code in docs_src/capo_sagemaker/types/time_series_transformations.py 
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class TimeSeriesTransformations(TypedDict, closed=True):
    filling: NotRequired[
        "capo_sagemaker.types.filling_transformations.FillingTransformations"
    ]
    """<p>A key value pair defining the filling method for a column, where the key is the column name and the value is an object which defines the filling logic. You can specify multiple filling methods for a single column.</p> <p>The supported filling methods and their corresponding options are:</p> <ul> <li> <p> <code>frontfill</code>: <code>none</code> (Supported only for target column)</p> </li> <li> <p> <code>middlefill</code>: <code>zero</code>, <code>value</code>, <code>median</code>, <code>mean</code>, <code>min</code>, <code>max</code> </p> </li> <li> <p> <code>backfill</code>: <code>zero</code>, <code>value</code>, <code>median</code>, <code>mean</code>, <code>min</code>, <code>max</code> </p> </li> <li> <p> <code>futurefill</code>: <code>zero</code>, <code>value</code>, <code>median</code>, <code>mean</code>, <code>min</code>, <code>max</code> </p> </li> </ul> <p>To set a filling method to a specific value, set the fill parameter to the chosen filling method value (for example <code>"backfill" : "value"</code>), and define the filling value in an additional parameter prefixed with "_value". For example, to set <code>backfill</code> to a value of <code>2</code>, you must include two parameters: <code>"backfill": "value"</code> and <code>"backfill_value":"2"</code>.</p>"""
    aggregation: NotRequired[
        "capo_sagemaker.types.aggregation_transformations.AggregationTransformations"
    ]
    """<p>A key value pair defining the aggregation method for a column, where the key is the column name and the value is the aggregation method.</p> <p>The supported aggregation methods are <code>sum</code> (default), <code>avg</code>, <code>first</code>, <code>min</code>, <code>max</code>.</p> <note> <p>Aggregation is only supported for the target column.</p> </note>"""

aggregation instance-attribute 

aggregation: NotRequired[AggregationTransformations]

A key value pair defining the aggregation method for a column, where the key is the column name and the value is the aggregation method.

The supported aggregation methods are sum (default), avg, first, min, max.

Aggregation is only supported for the target column.

filling instance-attribute 

filling: NotRequired[FillingTransformations]

A key value pair defining the filling method for a column, where the key is the column name and the value is an object which defines the filling logic. You can specify multiple filling methods for a single column.

The supported filling methods and their corresponding options are:

  • frontfill: none (Supported only for target column)

  • middlefill: zero, value, median, mean, min, max

  • backfill: zero, value, median, mean, min, max

  • futurefill: zero, value, median, mean, min, max

To set a filling method to a specific value, set the fill parameter to the chosen filling method value (for example "backfill" : "value"), and define the filling value in an additional parameter prefixed with "_value". For example, to set backfill to a value of 2, you must include two parameters: "backfill": "value" and "backfill_value":"2".