Struct SparseSVM

pub struct SparseSVM { /* private fields */ }

an SVM optimized for large models with many empty attributes.

Creating an SVM

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

use ffsvm::SparseSVM;

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

Implementations

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 FeatureVector::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 FeatureVector::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 const 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 From<&SparseSVM> for SparseFeatures

fn from(svm: &SparseSVM) -> Self

Converts to this type from the input type.

impl<'a> TryFrom<&'a ModelFile<'_>> for SparseSVM

type Error = Error

The type returned in the event of a conversion error.

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

Performs the conversion.

impl<'a> 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<Self, Error>

Performs the conversion.