Struct friedrich::prior::LinearPrior

pub struct LinearPrior { /* fields omitted */ }

The Linear prior

This prior is a linear function which can be fit on the training data.

Methods

impl LinearPrior

pub fn new(weights: DVector<f64>, intercept: f64) -> Self

Constructs a new linear prior the first row of w is the bias such that prior = [1|input] * w

Trait Implementations

impl Prior for LinearPrior

fn default(input_dimension: usize) -> Self

Default value for the prior

fn prior<S: Storage<f64, Dynamic, Dynamic>>(
    &self,
    input: &Matrix<f64, Dynamic, Dynamic, S>
) -> DVector<f64>

Takes and input and return an output.

fn fit<SM: Storage<f64, Dynamic, Dynamic> + Clone, SV: Storage<f64, Dynamic, U1>>(
    &mut self,
    training_inputs: &Matrix<f64, Dynamic, Dynamic, SM>,
    training_outputs: &Matrix<f64, Dynamic, U1, SV>
)

performs a linear fit to set the value of the prior

impl Clone for LinearPrior

fn clone(&self) -> LinearPrior

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LinearPrior

fn fmt(&self, f: &mut Formatter) -> Result

Formats the value using the given formatter.