Struct DeepModel 

pub struct DeepModel {
    pub layers: Vec<DeepLayerSpec>,
    pub alpha: f64,
    pub gating: GatingSpec,
}

Fields

layers: Vec<DeepLayerSpec>

alpha: f64

Legacy Python catalogs omitted fusion tuning when the model only carried a layer graph. Zero preserves the historical neutral value.

gating: GatingSpec

Implementations

impl DeepModel

pub fn to_layers(&self) -> MLResult<Vec<Layer>>

pub fn gating_runtime(&self) -> Gating

pub fn input_dimensions(&self) -> Option<usize>

pub fn validate(&self) -> MLResult<()>

Validate layer ordering, tensor shapes, dimensions, and numeric parameters.

pub fn predict(&self, ctx: &ExecutionContext) -> MLResult<PredictResult>

Run CPU inference against an operator execution context.

pub fn predict_with_backend<B: MLBackend>( &self, backend: &B, ctx: &ExecutionContext, ) -> MLResult<PredictResult>

Run inference through a specific backend.

pub fn predict_features( &self, examples: &[(DocId, Vec<f64>)], ) -> MLResult<PredictResult>

pub fn predict_features_with_backend<B: MLBackend>( &self, backend: &B, examples: &[(DocId, Vec<f64>)], ) -> MLResult<PredictResult>

Trait Implementations

impl Clone for DeepModel

fn clone(&self) -> DeepModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DeepModel

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for DeepModel

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for DeepModel

fn eq(&self, other: &DeepModel) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Serialize for DeepModel

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for DeepModel