Struct Prediction

pub struct Prediction {
    pub details: Option<HashMap<String, String>>,
    pub predicted_label: Option<String>,
    pub predicted_scores: Option<HashMap<String, f32>>,
    pub predicted_value: Option<f32>,
}

The output from a Predict operation:

• Details - Contains the following attributes: DetailsAttributes.PREDICTIVEMODELTYPE - 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.

Fields

details: Option<HashMap<String, String>>

predicted_label: Option<String>

The prediction label for either a BINARY or MULTICLASS MLModel.

predicted_scores: Option<HashMap<String, f32>>

predicted_value: Option<f32>

The prediction value for REGRESSION MLModel.

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 Default for Prediction

fn default() -> Prediction

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Prediction

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for Prediction

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