Trait rusty_machine::learning::optim::OptimAlgorithm
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[src]
pub trait OptimAlgorithm<M: Optimizable> {
fn optimize(&self,
model: &M,
start: &[f64],
inputs: &M::Inputs,
targets: &M::Targets)
-> Vec<f64>;
}Trait for optimization algorithms.
Required Methods
fn optimize(&self,
model: &M,
start: &[f64],
inputs: &M::Inputs,
targets: &M::Targets)
-> Vec<f64>
model: &M,
start: &[f64],
inputs: &M::Inputs,
targets: &M::Targets)
-> Vec<f64>
Return the optimized parameter using gradient optimization.
Takes in a set of starting parameters and related model data.
Implementors
impl<M: Optimizable> OptimAlgorithm<M> for GradientDescimpl<M> OptimAlgorithm<M> for StochasticGD where M: Optimizable<Inputs=Matrix<f64>, Targets=Matrix<f64>>impl<M: Optimizable<Inputs=Matrix<f64>, Targets=Matrix<f64>>> OptimAlgorithm<M> for AdaGradimpl<M> OptimAlgorithm<M> for RMSProp where M: Optimizable<Inputs=Matrix<f64>, Targets=Matrix<f64>>impl<M: Optimizable> OptimAlgorithm<M> for ConjugateGD