Struct LogisticRegression 

pub struct LogisticRegression<T> { /* private fields */ }

Logistic regression

Fore more information:
https://en.wikipedia.org/wiki/Logistic_regression

Examples

Implementations

impl<T> LogisticRegression<T>

where T: Real,

pub fn new(optim: Gradient<T>) -> LogisticRegression<T>

Creates an instance

Arguments

• ‘optim’: Optimization algorithm, which is used to optimize the model

Returns

LogisticRegression instance

pub fn parameters(&self) -> Option<Vector<T>>

Trait Implementations

impl<T> SupervisedLearn<Matrix<T>, Vector<T>> for LogisticRegression<T>

where T: Real,

fn train(&mut self, x: &Matrix<T>, y: &Vector<T>)

fn predict(&self, x: &Matrix<T>) -> Result<Vector<T>, ()>

Predict output from inputs.