Struct OptimizerSelector 

pub struct OptimizerSelector {
    pub model_size: usize,
    pub time_sensitive: bool,
    pub memory_constrained: bool,
    pub fast_convergence: bool,
    pub robustness_priority: bool,
    pub advanced_features: bool,
}

Optimizer Performance Analysis and Selection Tool

Helps users choose the right optimizer based on their requirements including performance characteristics, model size, and training objectives.

Fields

model_size: usize

Model parameter count

time_sensitive: bool

Training duration requirements (training time sensitivity)

memory_constrained: bool

Memory constraints

fast_convergence: bool

Convergence speed priority

robustness_priority: bool

Robustness requirements (handling diverse training conditions)

advanced_features: bool

Advanced features requirements (entropy weighting, adaptive norms)

Implementations

impl OptimizerSelector

pub fn new(model_size: usize) -> Self

pub fn time_sensitive(self, sensitive: bool) -> Self

pub fn memory_constrained(self, constrained: bool) -> Self

pub fn fast_convergence(self, fast: bool) -> Self

pub fn robustness_priority(self, robust: bool) -> Self

pub fn advanced_features(self, advanced: bool) -> Self

pub fn get_recommendations(&self) -> Vec<OptimizerRecommendation>

Get optimizer recommendations ranked by suitability

pub fn generate_report(&self) -> String

Generate a detailed report with recommendations

Trait Implementations

impl Clone for OptimizerSelector

fn clone(&self) -> OptimizerSelector

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for OptimizerSelector

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

Formats the value using the given formatter.