Struct linfa::composing::platt_scaling::PlattParams [−][src]
pub struct PlattParams<F, O>(_);
Implementations
Set the maximum number of iterations in the optimization process
The Newton’s method is an iterative optimization process, which uses the first and second
order gradients to find optimal A
and B
. This function caps the maximal number of
iterations.
Set the minimum stepsize in the line search
After estimating the Hessian matrix, a line search is performed to find the optimal step size in each optimization step. In each attempt the stepsize is halfed until this threshold is reached. After reaching the threshold the algorithm fails because the desired precision could not be achieved.
Trait Implementations
type Checked = PlattValidParams<F, O>
type Checked = PlattValidParams<F, O>
The checked hyperparameters
type Error = PlattError
type Error = PlattError
Error type resulting from failed hyperparameter checking
Checks the hyperparameters and returns a reference to the checked hyperparameters if successful Read more
Checks the hyperparameters and returns the checked hyperparameters if successful
Calls check()
and unwraps the result