Struct PredictionConfig 

pub struct PredictionConfig {
    pub model_type: PredictionModelType,
    pub n_gram_size: usize,
    pub top_k: usize,
    pub min_probability: f64,
    pub laplace_smoothing: bool,
}

Configuration for prediction.

Fields

model_type: PredictionModelType

Type of prediction model.

n_gram_size: usize

N for N-gram model (ignored for Markov).

top_k: usize

Number of top predictions to return.

min_probability: f64

Minimum probability threshold.

laplace_smoothing: bool

Use Laplace smoothing for unseen transitions.

Trait Implementations

impl Clone for PredictionConfig

fn clone(&self) -> PredictionConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PredictionConfig

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

Formats the value using the given formatter.

impl Default for PredictionConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for PredictionConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for PredictionConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.