Copyright | (c) 2013-2023 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | Safe-Inferred |
Language | Haskell2010 |
Documentation
data AttributeConfig Source #
Provides information about the method used to transform attributes.
The following is an example using the RETAIL domain:
{
"AttributeName": "demand",
"Transformations": {"aggregation": "sum", "middlefill": "zero", "backfill": "zero"}
}
See: newAttributeConfig
smart constructor.
AttributeConfig' | |
|
Instances
Create a value of AttributeConfig
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:attributeName:AttributeConfig'
, attributeConfig_attributeName
- The name of the attribute as specified in the schema. Amazon Forecast
supports the target field of the target time series and the related time
series datasets. For example, for the RETAIL domain, the target is
demand
.
$sel:transformations:AttributeConfig'
, attributeConfig_transformations
- The method parameters (key-value pairs), which are a map of override
parameters. Specify these parameters to override the default values.
Related Time Series attributes do not accept aggregation parameters.
The following list shows the parameters and their valid values for the "filling" featurization method for a Target Time Series dataset. Default values are bolded.
aggregation
: sum,avg
,first
,min
,max
frontfill
: nonemiddlefill
: zero,nan
(not a number),value
,median
,mean
,min
,max
backfill
: zero,nan
,value
,median
,mean
,min
,max
The following list shows the parameters and their valid values for a Related Time Series featurization method (there are no defaults):
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
value
and define the value in a corresponding _value
parameter. For
example, to set backfilling to a value of 2, include the following:
"backfill": "value"
and "backfill_value":"2"
.
attributeConfig_attributeName :: Lens' AttributeConfig Text Source #
The name of the attribute as specified in the schema. Amazon Forecast
supports the target field of the target time series and the related time
series datasets. For example, for the RETAIL domain, the target is
demand
.
attributeConfig_transformations :: Lens' AttributeConfig (HashMap Text Text) Source #
The method parameters (key-value pairs), which are a map of override parameters. Specify these parameters to override the default values. Related Time Series attributes do not accept aggregation parameters.
The following list shows the parameters and their valid values for the "filling" featurization method for a Target Time Series dataset. Default values are bolded.
aggregation
: sum,avg
,first
,min
,max
frontfill
: nonemiddlefill
: zero,nan
(not a number),value
,median
,mean
,min
,max
backfill
: zero,nan
,value
,median
,mean
,min
,max
The following list shows the parameters and their valid values for a Related Time Series featurization method (there are no defaults):
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
value
and define the value in a corresponding _value
parameter. For
example, to set backfilling to a value of 2, include the following:
"backfill": "value"
and "backfill_value":"2"
.