Struct SemanticKernelApproximation 

pub struct SemanticKernelApproximation {
    pub n_components: usize,
    pub embedding_dim: usize,
    pub similarity_measure: SimilarityMeasure,
    pub aggregation_method: AggregationMethod,
    pub use_attention: bool,
}

Semantic kernel approximation using word embeddings and similarity measures SemanticKernelApproximation

Fields

n_components: usize

n_components

embedding_dim: usize

embedding_dim

similarity_measure: SimilarityMeasure

similarity_measure

aggregation_method: AggregationMethod

aggregation_method

use_attention: bool

use_attention

Implementations

impl SemanticKernelApproximation

pub fn new(n_components: usize, embedding_dim: usize) -> Self

pub fn similarity_measure(self, measure: SimilarityMeasure) -> Self

pub fn aggregation_method(self, method: AggregationMethod) -> Self

pub fn use_attention(self, use_attention: bool) -> Self

Trait Implementations

impl Clone for SemanticKernelApproximation

fn clone(&self) -> SemanticKernelApproximation

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SemanticKernelApproximation

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for SemanticKernelApproximation

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Fit<Vec<String>, ()> for SemanticKernelApproximation

type Fitted = FittedSemanticKernelApproximation

The fitted model type

fn fit(self, documents: &Vec<String>, _y: &()) -> Result<Self::Fitted>

Fit the model to the provided data with validation

fn fit_with_validation( self, x: &X, y: &Y, _x_val: Option<&X>, _y_val: Option<&Y>, ) -> Result<(Self::Fitted, FitMetrics), SklearsError>

where Self: Sized,

Fit with custom validation and early stopping

impl Serialize for SemanticKernelApproximation

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

where __S: Serializer,

Serialize this value into the given Serde serializer.