Struct ffsvm::SparseSVM

pub struct SparseSVM { /* fields omitted */ }

A SVM optimized for large models with many empty attributes.

Creating a SVM

This SVM can be created by passing a ModelFile into try_from, or a &str:

use ffsvm::*;
use std::convert::TryFrom;

let svm = SparseSVM::try_from("...");

Methods

impl SparseSVM

pub fn class_index_for_label(&self, label: i32) -> Option<usize>

Finds the class index for a given label.

Description

This method takes a label as defined in the libSVM training model and returns the internal index where this label resides. The index equals Problem::probabilities index where that label's probability can be found.

Returns

If the label was found its index returned in the Option. Otherwise None is returned.

pub fn class_label_for_index(&self, index: usize) -> Option<i32>

Returns the class label for a given index.

Description

The inverse of SparseSVM::class_index_for_label, this function returns the class label associated with a certain internal index. The index equals the Problem::probabilities index where a label's probability can be found.

Returns

If the index was found it is returned in the Option. Otherwise None is returned.

pub fn attributes(&self) -> usize

Returns number of attributes, reflecting the libSVM model.

pub fn classes(&self) -> usize

Returns number of classes, reflecting the libSVM model.

Trait Implementations

impl<'a> From<&'a SparseSVM> for SparseProblem

fn from(svm: &SparseSVM) -> Self

Performs the conversion.

impl<'a, 'b> TryFrom<&'a str> for SparseSVM

type Error = Error

The type returned in the event of a conversion error.

fn try_from(input: &'a str) -> Result<SparseSVM, Error>

Performs the conversion.

impl<'a, 'b> TryFrom<&'a ModelFile<'b>> for SparseSVM

type Error = Error

The type returned in the event of a conversion error.

fn try_from(raw_model: &'a ModelFile) -> Result<SparseSVM, Error>

Performs the conversion.