Struct LogisticRegressionInput

pub struct LogisticRegressionInput<T> {
    pub x: Matrix<T, Dyn, Dyn, VecStorage<T, Dyn, Dyn>>,
    pub y: Matrix<T, Dyn, Const<1>, VecStorage<T, Dyn, Const<1>>>,
}

Struct to hold the input data for a logistic regression.

Fields

x: Matrix<T, Dyn, Dyn, VecStorage<T, Dyn, Dyn>>

The input data matrix, also known as the design matrix. You do not need to add a column of ones to the design matrix, as this is done automatically.

y: Matrix<T, Dyn, Const<1>, VecStorage<T, Dyn, Const<1>>>

The output data vector, also known as the response vector. The values of the response vector should be either 0 or 1.

Implementations

impl LogisticRegressionInput<f64>

pub fn new( x: Matrix<f64, Dyn, Dyn, VecStorage<f64, Dyn, Dyn>>, y: Matrix<f64, Dyn, Const<1>, VecStorage<f64, Dyn, Const<1>>>, ) -> LogisticRegressionInput<f64>

Create a new LogisticRegressionInput struct.

Panics

Panics if the number of rows in x are not equal to the length of y.

pub fn fit( &self, method: LogisticRegressionAlgorithm, tolerance: f64, ) -> Result<LogisticRegressionOutput<f64>, &'static str>

Fit a logistic regression model to the input data.

Trait Implementations

impl<T> Clone for LogisticRegressionInput<T>

where T: Clone,

fn clone(&self) -> LogisticRegressionInput<T>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T> Debug for LogisticRegressionInput<T>

where T: Debug,

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.