Trait OptimizableModel 

pub trait OptimizableModel<Input, Output>:
    BaseModel<Input, Output>
    + ParamCollection
    + GradientCollection {
    // Required methods
    fn forward(&self, input: &Input) -> Result<Output, ModelError>;
    fn backward(
        &mut self,
        input: &Input,
        output_grad: &Output,
    ) -> Result<(), ModelError>;
    fn compute_output_gradient(
        &self,
        x: &Input,
        y: &Output,
    ) -> Result<Output, ModelError>;
}

Required Methods

fn forward(&self, input: &Input) -> Result<Output, ModelError>

Forward pass through the model.

fn backward( &mut self, input: &Input, output_grad: &Output, ) -> Result<(), ModelError>

Backward pass to compute gradients.

fn compute_output_gradient( &self, x: &Input, y: &Output, ) -> Result<Output, ModelError>

Computes the gradient of the cost with respect to the output predictions

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety".

Implementors

impl OptimizableModel<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for LinearRegression

Implementation of the OptimizableModel trait for LinearRegression

impl OptimizableModel<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for LogisticRegression