NAME

Paws::Forecast::EvaluationParameters

USAGE

This class represents one of two things:

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  });

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

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.

ATTRIBUTES

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. "BackTestWindowOffset" 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.

"ForecastHorizon" <= "BackTestWindowOffset" < 1/2 * TARGET_TIME_SERIES dataset length

NumberOfBacktestWindows => Int

The number of times to split the input data. The default is 1. Valid values are 1 through 5.

BUGS and CONTRIBUTIONS

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>