AWS SDK for C++  1.9.102
AWS SDK for C++
Public Member Functions | List of all members
Aws::ForecastService::Model::FeaturizationMethod Class Reference

#include <FeaturizationMethod.h>

Public Member Functions

 FeaturizationMethod ()
 
 FeaturizationMethod (Aws::Utils::Json::JsonView jsonValue)
 
FeaturizationMethodoperator= (Aws::Utils::Json::JsonView jsonValue)
 
Aws::Utils::Json::JsonValue Jsonize () const
 
const FeaturizationMethodNameGetFeaturizationMethodName () const
 
bool FeaturizationMethodNameHasBeenSet () const
 
void SetFeaturizationMethodName (const FeaturizationMethodName &value)
 
void SetFeaturizationMethodName (FeaturizationMethodName &&value)
 
FeaturizationMethodWithFeaturizationMethodName (const FeaturizationMethodName &value)
 
FeaturizationMethodWithFeaturizationMethodName (FeaturizationMethodName &&value)
 
const Aws::Map< Aws::String, Aws::String > & GetFeaturizationMethodParameters () const
 
bool FeaturizationMethodParametersHasBeenSet () const
 
void SetFeaturizationMethodParameters (const Aws::Map< Aws::String, Aws::String > &value)
 
void SetFeaturizationMethodParameters (Aws::Map< Aws::String, Aws::String > &&value)
 
FeaturizationMethodWithFeaturizationMethodParameters (const Aws::Map< Aws::String, Aws::String > &value)
 
FeaturizationMethodWithFeaturizationMethodParameters (Aws::Map< Aws::String, Aws::String > &&value)
 
FeaturizationMethodAddFeaturizationMethodParameters (const Aws::String &key, const Aws::String &value)
 
FeaturizationMethodAddFeaturizationMethodParameters (Aws::String &&key, const Aws::String &value)
 
FeaturizationMethodAddFeaturizationMethodParameters (const Aws::String &key, Aws::String &&value)
 
FeaturizationMethodAddFeaturizationMethodParameters (Aws::String &&key, Aws::String &&value)
 
FeaturizationMethodAddFeaturizationMethodParameters (const char *key, Aws::String &&value)
 
FeaturizationMethodAddFeaturizationMethodParameters (Aws::String &&key, const char *value)
 
FeaturizationMethodAddFeaturizationMethodParameters (const char *key, const char *value)
 

Detailed Description

Provides information about the method that featurizes (transforms) a dataset field. The method is part of the FeaturizationPipeline of the Featurization object.

The following is an example of how you specify a FeaturizationMethod object.

{

"FeaturizationMethodName": "filling",

"FeaturizationMethodParameters": {"aggregation": "sum", "middlefill": "zero", "backfill": "zero"}

}

See Also:

AWS API Reference

Definition at line 40 of file FeaturizationMethod.h.

Constructor & Destructor Documentation

◆ FeaturizationMethod() [1/2]

Aws::ForecastService::Model::FeaturizationMethod::FeaturizationMethod ( )

◆ FeaturizationMethod() [2/2]

Aws::ForecastService::Model::FeaturizationMethod::FeaturizationMethod ( Aws::Utils::Json::JsonView  jsonValue)

Member Function Documentation

◆ AddFeaturizationMethodParameters() [1/7]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::AddFeaturizationMethodParameters ( Aws::String &&  key,
Aws::String &&  value 
)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 384 of file FeaturizationMethod.h.

◆ AddFeaturizationMethodParameters() [2/7]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::AddFeaturizationMethodParameters ( Aws::String &&  key,
const Aws::String value 
)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 324 of file FeaturizationMethod.h.

◆ AddFeaturizationMethodParameters() [3/7]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::AddFeaturizationMethodParameters ( Aws::String &&  key,
const char *  value 
)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 444 of file FeaturizationMethod.h.

◆ AddFeaturizationMethodParameters() [4/7]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::AddFeaturizationMethodParameters ( const Aws::String key,
Aws::String &&  value 
)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 354 of file FeaturizationMethod.h.

◆ AddFeaturizationMethodParameters() [5/7]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::AddFeaturizationMethodParameters ( const Aws::String key,
const Aws::String value 
)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 294 of file FeaturizationMethod.h.

◆ AddFeaturizationMethodParameters() [6/7]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::AddFeaturizationMethodParameters ( const char *  key,
Aws::String &&  value 
)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 414 of file FeaturizationMethod.h.

◆ AddFeaturizationMethodParameters() [7/7]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::AddFeaturizationMethodParameters ( const char *  key,
const char *  value 
)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 474 of file FeaturizationMethod.h.

◆ FeaturizationMethodNameHasBeenSet()

bool Aws::ForecastService::Model::FeaturizationMethod::FeaturizationMethodNameHasBeenSet ( ) const
inline

The name of the method. The "filling" method is the only supported method.

Definition at line 59 of file FeaturizationMethod.h.

◆ FeaturizationMethodParametersHasBeenSet()

bool Aws::ForecastService::Model::FeaturizationMethod::FeaturizationMethodParametersHasBeenSet ( ) const
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 144 of file FeaturizationMethod.h.

◆ GetFeaturizationMethodName()

const FeaturizationMethodName& Aws::ForecastService::Model::FeaturizationMethod::GetFeaturizationMethodName ( ) const
inline

The name of the method. The "filling" method is the only supported method.

Definition at line 53 of file FeaturizationMethod.h.

◆ GetFeaturizationMethodParameters()

const Aws::Map<Aws::String, Aws::String>& Aws::ForecastService::Model::FeaturizationMethod::GetFeaturizationMethodParameters ( ) const
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 114 of file FeaturizationMethod.h.

◆ Jsonize()

Aws::Utils::Json::JsonValue Aws::ForecastService::Model::FeaturizationMethod::Jsonize ( ) const

◆ operator=()

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::operator= ( Aws::Utils::Json::JsonView  jsonValue)

◆ SetFeaturizationMethodName() [1/2]

void Aws::ForecastService::Model::FeaturizationMethod::SetFeaturizationMethodName ( const FeaturizationMethodName value)
inline

The name of the method. The "filling" method is the only supported method.

Definition at line 65 of file FeaturizationMethod.h.

◆ SetFeaturizationMethodName() [2/2]

void Aws::ForecastService::Model::FeaturizationMethod::SetFeaturizationMethodName ( FeaturizationMethodName &&  value)
inline

The name of the method. The "filling" method is the only supported method.

Definition at line 71 of file FeaturizationMethod.h.

◆ SetFeaturizationMethodParameters() [1/2]

void Aws::ForecastService::Model::FeaturizationMethod::SetFeaturizationMethodParameters ( Aws::Map< Aws::String, Aws::String > &&  value)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 204 of file FeaturizationMethod.h.

◆ SetFeaturizationMethodParameters() [2/2]

void Aws::ForecastService::Model::FeaturizationMethod::SetFeaturizationMethodParameters ( const Aws::Map< Aws::String, Aws::String > &  value)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 174 of file FeaturizationMethod.h.

◆ WithFeaturizationMethodName() [1/2]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::WithFeaturizationMethodName ( const FeaturizationMethodName value)
inline

The name of the method. The "filling" method is the only supported method.

Definition at line 77 of file FeaturizationMethod.h.

◆ WithFeaturizationMethodName() [2/2]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::WithFeaturizationMethodName ( FeaturizationMethodName &&  value)
inline

The name of the method. The "filling" method is the only supported method.

Definition at line 83 of file FeaturizationMethod.h.

◆ WithFeaturizationMethodParameters() [1/2]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::WithFeaturizationMethodParameters ( Aws::Map< Aws::String, Aws::String > &&  value)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 264 of file FeaturizationMethod.h.

◆ WithFeaturizationMethodParameters() [2/2]

FeaturizationMethod& Aws::ForecastService::Model::FeaturizationMethod::WithFeaturizationMethodParameters ( const Aws::Map< Aws::String, Aws::String > &  value)
inline

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. Bold signifies the default value.

  • aggregation: sum, avg, first, min, max

  • frontfill: none

  • middlefill: 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".

Definition at line 234 of file FeaturizationMethod.h.


The documentation for this class was generated from the following file: