Struct NGramKernel 

pub struct NGramKernel { /* private fields */ }

N-gram string kernel

Measures similarity by counting common n-grams.

Example

use tensorlogic_sklears_kernels::{NGramKernel, NGramKernelConfig};

let config = NGramKernelConfig::new(2).unwrap(); // bigrams
let kernel = NGramKernel::new(config);

let text1 = "hello world";
let text2 = "hello there";

let sim = kernel.compute_strings(text1, text2).unwrap();
println!("Similarity: {}", sim);

Implementations

impl NGramKernel

pub fn new(config: NGramKernelConfig) -> Self

Create a new n-gram kernel

pub fn compute_strings(&self, text1: &str, text2: &str) -> Result<f64>

Compute similarity between two text strings

Trait Implementations

impl Kernel for NGramKernel

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.