Struct aws_sdk_forecast::types::builders::EvaluationParametersBuilder

#[non_exhaustive]
pub struct EvaluationParametersBuilder { /* private fields */ }

A builder for EvaluationParameters.

Implementations

impl EvaluationParametersBuilder

pub fn number_of_backtest_windows(self, input: i32) -> Self

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

pub fn set_number_of_backtest_windows(self, input: Option<i32>) -> Self

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

pub fn get_number_of_backtest_windows(&self) -> &Option<i32>

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

pub fn back_test_window_offset(self, input: i32) -> Self

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

pub fn set_back_test_window_offset(self, input: Option<i32>) -> Self

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

pub fn get_back_test_window_offset(&self) -> &Option<i32>

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

pub fn build(self) -> EvaluationParameters

Consumes the builder and constructs a EvaluationParameters.

Trait Implementations

impl Clone for EvaluationParametersBuilder

fn clone(&self) -> EvaluationParametersBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for EvaluationParametersBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for EvaluationParametersBuilder

fn default() -> EvaluationParametersBuilder

Returns the “default value” for a type.

impl PartialEq for EvaluationParametersBuilder

fn eq(&self, other: &EvaluationParametersBuilder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for EvaluationParametersBuilder