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::EvaluationParameters; use Moose; has BackTestWindowOffset => (is => 'ro', isa => 'Int'); has NumberOfBacktestWindows => (is => 'ro', isa => 'Int'); 1; ### main pod documentation begin ### =head1 NAME Paws::Forecast::EvaluationParameters =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::EvaluationParameters object: $service_obj->Method(Att1 => { BackTestWindowOffset => $value, ..., NumberOfBacktestWindows => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::Forecast::EvaluationParameters object: $result = $service_obj->Method(...); $result->Att1->BackTestWindowOffset =head1 DESCRIPTION Parameters that define how to split a dataset into training data and testing data, and the number of iterations to perform. These parameters are specified in the predefined algorithms but you can override them in the CreatePredictor request. =head1 ATTRIBUTES =head2 BackTestWindowOffset => Int The point from the end of the dataset where you want to split the data for model training and testing (evaluation). Specify the value as the number of data points. The default is the value of the forecast horizon. C can be used to mimic a past virtual forecast start date. This value must be greater than or equal to the forecast horizon and less than half of the TARGET_TIME_SERIES dataset length. C E= C E 1/2 * TARGET_TIME_SERIES dataset length =head2 NumberOfBacktestWindows => Int The number of times to split the input data. The default is 1. Valid values are 1 through 5. =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