Class: Aws::ForecastService::Types::FeaturizationMethod

Inherits:

Struct

Object
Struct
Aws::ForecastService::Types::FeaturizationMethod

show all

Defined in:: gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb

Overview

Note:

When making an API call, you may pass FeaturizationMethod data as a hash:

{
  featurization_method_name: "filling", # required, accepts filling
  featurization_method_parameters: {
    "ParameterKey" => "ParameterValue",
  },
}

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"\}

\}

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#featurization_method_name ⇒ String
The name of the method.
#featurization_method_parameters ⇒ Hash<String,String>
The method parameters (key-value pairs), which are a map of override parameters.

Instance Attribute Details

#featurization_method_name ⇒ `String`

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

Returns:

(String)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 2153

class FeaturizationMethod < Struct.new(
  :featurization_method_name,
  :featurization_method_parameters)
  SENSITIVE = []
  include Aws::Structure
end

#featurization_method_parameters ⇒ `Hash<String,String>`

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