Struct aws_sdk_sagemaker::types::TimeSeriesConfig

#[non_exhaustive]
pub struct TimeSeriesConfig {
    pub target_attribute_name: Option<String>,
    pub timestamp_attribute_name: Option<String>,
    pub item_identifier_attribute_name: Option<String>,
    pub grouping_attribute_names: Option<Vec<String>>,
}

The collection of components that defines the time-series.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

target_attribute_name: Option<String>

The name of the column representing the target variable that you want to predict for each item in your dataset. The data type of the target variable must be numerical.

timestamp_attribute_name: Option<String>

The name of the column indicating a point in time at which the target value of a given item is recorded.

item_identifier_attribute_name: Option<String>

The name of the column that represents the set of item identifiers for which you want to predict the target value.

grouping_attribute_names: Option<Vec<String>>

A set of columns names that can be grouped with the item identifier column to create a composite key for which a target value is predicted.

Implementations

impl TimeSeriesConfig

pub fn target_attribute_name(&self) -> Option<&str>

The name of the column representing the target variable that you want to predict for each item in your dataset. The data type of the target variable must be numerical.

pub fn timestamp_attribute_name(&self) -> Option<&str>

The name of the column indicating a point in time at which the target value of a given item is recorded.

pub fn item_identifier_attribute_name(&self) -> Option<&str>

The name of the column that represents the set of item identifiers for which you want to predict the target value.

pub fn grouping_attribute_names(&self) -> &[String]

A set of columns names that can be grouped with the item identifier column to create a composite key for which a target value is predicted.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .grouping_attribute_names.is_none().

impl TimeSeriesConfig

pub fn builder() -> TimeSeriesConfigBuilder

Creates a new builder-style object to manufacture TimeSeriesConfig.

Trait Implementations

impl Clone for TimeSeriesConfig

fn clone(&self) -> TimeSeriesConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TimeSeriesConfig

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

Formats the value using the given formatter.

impl PartialEq for TimeSeriesConfig

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

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

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

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

impl StructuralPartialEq for TimeSeriesConfig