Struct aws_sdk_machinelearning::model::Prediction

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

The output from a Predict operation:

• Details - Contains the following attributes: DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS DetailsAttributes.ALGORITHM - SGD

• PredictedLabel - Present for either a BINARY or MULTICLASS MLModel request.

• PredictedScores - Contains the raw classification score corresponding to each label.

• PredictedValue - Present for a REGRESSION MLModel request.

Implementations

impl Prediction

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

The prediction label for either a BINARY or MULTICLASS MLModel.

pub fn predicted_value(&self) -> Option<f32>

The prediction value for REGRESSION MLModel.

pub fn predicted_scores(&self) -> Option<&HashMap<String, f32>>

Provides the raw classification score corresponding to each label.

pub fn details(&self) -> Option<&HashMap<DetailsAttributes, String>>

Provides any additional details regarding the prediction.

impl Prediction

pub fn builder() -> Builder

Creates a new builder-style object to manufacture Prediction.

Trait Implementations

impl Clone for Prediction

fn clone(&self) -> Prediction

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Prediction

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

Formats the value using the given formatter.

impl PartialEq<Prediction> for Prediction

fn eq(&self, other: &Prediction) -> 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 Prediction