PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` # Generated by default/object.tt package Paws::Forecast::FeaturizationMethod; use Moose; has FeaturizationMethodName => (is => 'ro', isa => 'Str', required => 1); has FeaturizationMethodParameters => (is => 'ro', isa => 'Paws::Forecast::FeaturizationMethodParameters'); 1; ### main pod documentation begin ### =head1 NAME Paws::Forecast::FeaturizationMethod =head1 USAGE This class represents one of two things: =head3 Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::Forecast::FeaturizationMethod object: $service_obj->Method(Att1 => { FeaturizationMethodName => $value, ..., FeaturizationMethodParameters => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::Forecast::FeaturizationMethod object: $result = $service_obj->Method(...); $result->Att1->FeaturizationMethodName =head1 DESCRIPTION Provides information about the method that featurizes (transforms) a dataset field. The method is part of the C of the Featurization object. The following is an example of how you specify a C object. C<{> C<"FeaturizationMethodName": "filling",> C<"FeaturizationMethodParameters": {"aggregation": "sum", "middlefill": "zero", "backfill": "zero"}> C<}> =head1 ATTRIBUTES =head2 B FeaturizationMethodName => Str The name of the method. The "filling" method is the only supported method. =head2 FeaturizationMethodParameters => L 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 B dataset. Bold signifies the default value. =over =item * C: B, C, C, C, C =item * C: B =item * C: B, C (not a number), C, C, C, C, C =item * C: B, C, C, C, C, C, C =back The following list shows the parameters and their valid values for a B featurization method (there are no defaults): =over =item * C: C, C, C, C, C, C =item * C: C, C, C, C, C, C =item * C: C, C, C, C, C, C =back To set a filling method to a specific value, set the fill parameter to C and define the value in a corresponding C<_value> parameter. For example, to set backfilling to a value of 2, include the following: C<"backfill": "value"> and C<"backfill_value":"2">. =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut