Struct RuleSimilarityKernel 

pub struct RuleSimilarityKernel { /* private fields */ }

Logic-based similarity kernel.

Measures similarity based on which logical rules are satisfied by each input.

Formula

K(x, y) = Σ_r w_r * agreement(x, y, r)

Where:

• r ranges over logical rules
• w_r is the weight for rule r
• agreement(x, y, r) measures if x and y agree on rule r:
  • Both satisfy: satisfied_weight
  • Both violate: violated_weight
  • Disagree: mixed_weight

Implementations

impl RuleSimilarityKernel

pub fn new(rules: Vec<TLExpr>, config: RuleSimilarityConfig) -> Result<Self>

Create a new rule similarity kernel

Trait Implementations

impl Kernel for RuleSimilarityKernel

fn compute(&self, x: &[f64], y: &[f64]) -> Result<f64>

Compute kernel value between two inputs.

fn name(&self) -> &str

Get kernel name for identification.

fn compute_matrix(&self, inputs: &[Vec<f64>]) -> Result<Vec<Vec<f64>>>

Compute kernel matrix for a set of inputs.

fn is_psd(&self) -> bool

Check if kernel is positive semi-definite.