Struct FeaturizationConfigBuilder

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

Expand description

A builder for FeaturizationConfig.

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impl FeaturizationConfigBuilder

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pub fn forecast_frequency(self, input: impl Into<String>) -> Self

The frequency of predictions in a forecast.

Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, "1D" indicates every day and "15min" indicates every 15 minutes. You cannot specify a value that would overlap with the next larger frequency. That means, for example, you cannot specify a frequency of 60 minutes, because that is equivalent to 1 hour. The valid values for each frequency are the following:

Minute - 1-59
Hour - 1-23
Day - 1-6
Week - 1-4
Month - 1-11
Year - 1

Thus, if you want every other week forecasts, specify "2W". Or, if you want quarterly forecasts, you specify "3M".

The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset frequency.

When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal to the TARGET_TIME_SERIES dataset frequency.

This field is required.

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pub fn set_forecast_frequency(self, input: Option<String>) -> Self

The frequency of predictions in a forecast.

Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, "1D" indicates every day and "15min" indicates every 15 minutes. You cannot specify a value that would overlap with the next larger frequency. That means, for example, you cannot specify a frequency of 60 minutes, because that is equivalent to 1 hour. The valid values for each frequency are the following:

Minute - 1-59
Hour - 1-23
Day - 1-6
Week - 1-4
Month - 1-11
Year - 1

Thus, if you want every other week forecasts, specify "2W". Or, if you want quarterly forecasts, you specify "3M".

The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset frequency.

When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal to the TARGET_TIME_SERIES dataset frequency.

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pub fn get_forecast_frequency(&self) -> &Option<String>

The frequency of predictions in a forecast.

Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, "1D" indicates every day and "15min" indicates every 15 minutes. You cannot specify a value that would overlap with the next larger frequency. That means, for example, you cannot specify a frequency of 60 minutes, because that is equivalent to 1 hour. The valid values for each frequency are the following:

Minute - 1-59
Hour - 1-23
Day - 1-6
Week - 1-4
Month - 1-11
Year - 1

Thus, if you want every other week forecasts, specify "2W". Or, if you want quarterly forecasts, you specify "3M".

The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset frequency.

When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal to the TARGET_TIME_SERIES dataset frequency.

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pub fn forecast_dimensions(self, input: impl Into<String>) -> Self

Appends an item to forecast_dimensions.

To override the contents of this collection use set_forecast_dimensions.

An array of dimension (field) names that specify how to group the generated forecast.

For example, suppose that you are generating a forecast for item sales across all of your stores, and your dataset contains a store_id field. If you want the sales forecast for each item by store, you would specify store_id as the dimension.

All forecast dimensions specified in the TARGET_TIME_SERIES dataset don't need to be specified in the CreatePredictor request. All forecast dimensions specified in the RELATED_TIME_SERIES dataset must be specified in the CreatePredictor request.

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pub fn set_forecast_dimensions(self, input: Option<Vec<String>>) -> Self

An array of dimension (field) names that specify how to group the generated forecast.

For example, suppose that you are generating a forecast for item sales across all of your stores, and your dataset contains a store_id field. If you want the sales forecast for each item by store, you would specify store_id as the dimension.

All forecast dimensions specified in the TARGET_TIME_SERIES dataset don't need to be specified in the CreatePredictor request. All forecast dimensions specified in the RELATED_TIME_SERIES dataset must be specified in the CreatePredictor request.

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pub fn get_forecast_dimensions(&self) -> &Option<Vec<String>>

An array of dimension (field) names that specify how to group the generated forecast.

For example, suppose that you are generating a forecast for item sales across all of your stores, and your dataset contains a store_id field. If you want the sales forecast for each item by store, you would specify store_id as the dimension.

All forecast dimensions specified in the TARGET_TIME_SERIES dataset don't need to be specified in the CreatePredictor request. All forecast dimensions specified in the RELATED_TIME_SERIES dataset must be specified in the CreatePredictor request.

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pub fn featurizations(self, input: Featurization) -> Self

Appends an item to featurizations.

To override the contents of this collection use set_featurizations.

An array of featurization (transformation) information for the fields of a dataset.

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pub fn set_featurizations(self, input: Option<Vec<Featurization>>) -> Self

An array of featurization (transformation) information for the fields of a dataset.

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pub fn get_featurizations(&self) -> &Option<Vec<Featurization>>

An array of featurization (transformation) information for the fields of a dataset.

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pub fn build(self) -> Result<FeaturizationConfig, BuildError>

Consumes the builder and constructs a FeaturizationConfig. This method will fail if any of the following fields are not set:

forecast_frequency

Trait Implementations§

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impl Clone for FeaturizationConfigBuilder

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fn clone(&self) -> FeaturizationConfigBuilder

Returns a duplicate of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for FeaturizationConfigBuilder

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

Formats the value using the given formatter. Read more

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impl Default for FeaturizationConfigBuilder

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fn default() -> FeaturizationConfigBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for FeaturizationConfigBuilder

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

Tests for self and other values to be equal, and is used by ==.

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

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

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impl StructuralPartialEq for FeaturizationConfigBuilder

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impl UnwindSafe for FeaturizationConfigBuilder

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FeaturizationConfigBuilder

Struct FeaturizationConfigBuilder Copy item path

Implementations§

impl FeaturizationConfigBuilder

pub fn forecast_frequency(self, input: impl Into<String>) -> Self

pub fn set_forecast_frequency(self, input: Option<String>) -> Self

pub fn get_forecast_frequency(&self) -> &Option<String>

pub fn forecast_dimensions(self, input: impl Into<String>) -> Self

pub fn set_forecast_dimensions(self, input: Option<Vec<String>>) -> Self

pub fn get_forecast_dimensions(&self) -> &Option<Vec<String>>

pub fn featurizations(self, input: Featurization) -> Self

pub fn set_featurizations(self, input: Option<Vec<Featurization>>) -> Self

pub fn get_featurizations(&self) -> &Option<Vec<Featurization>>

pub fn build(self) -> Result<FeaturizationConfig, BuildError>

Trait Implementations§

impl Clone for FeaturizationConfigBuilder

fn clone(&self) -> FeaturizationConfigBuilder

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

impl Debug for FeaturizationConfigBuilder

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

impl Default for FeaturizationConfigBuilder

fn default() -> FeaturizationConfigBuilder

impl PartialEq for FeaturizationConfigBuilder

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

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

impl StructuralPartialEq for FeaturizationConfigBuilder

Auto Trait Implementations§

impl Freeze for FeaturizationConfigBuilder

impl RefUnwindSafe for FeaturizationConfigBuilder

impl Send for FeaturizationConfigBuilder

impl Sync for FeaturizationConfigBuilder

impl Unpin for FeaturizationConfigBuilder

impl UnwindSafe for FeaturizationConfigBuilder

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Struct FeaturizationConfigBuilder

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