Struct MergedModel 

pub struct MergedModel {
    pub feature_sets: Vec<MergedFeatureSet>,
    pub matrix: Vec<HashMap<u32, f64>>,
    pub left_conn_to_right_feats: Vec<Vec<Option<NonZeroU32>>>,
    pub right_conn_to_left_feats: Vec<Vec<Option<NonZeroU32>>>,
}

Represents a merged model.

Fields

feature_sets: Vec<MergedFeatureSet>

Feature sets corresponding to label IDs.

matrix: Vec<HashMap<u32, f64>>

Bi-gram weight matrix.

left_conn_to_right_feats: Vec<Vec<Option<NonZeroU32>>>

Relation between the left connection IDs and the right bi-gram feature IDs.

right_conn_to_left_feats: Vec<Vec<Option<NonZeroU32>>>

Relation between the right connection IDs and the left bi-gram feature IDs.

Trait Implementations

impl<'de, __Context> BorrowDecode<'de, __Context> for MergedModel

fn borrow_decode<D: BorrowDecoder<'de, Context = __Context>>( decoder: &mut D, ) -> Result<Self, DecodeError>

Attempt to decode this type with the given BorrowDecode.

impl<Context> Decode<Context> for MergedModel

fn decode<D: Decoder>(decoder: &mut D) -> Result<Self, DecodeError>

Attempt to decode this type with the given Decode.

impl Encode for MergedModel

fn encode<E: Encoder>(&self, encoder: &mut E) -> Result<(), EncodeError>

Encode a given type.

impl Model for MergedModel

fn search_best_path(&self, lattice: &Lattice) -> (Vec<Edge>, f64)

Searches the best path and returns the path and its score.