Struct PerformancePredictionConfig 

pub struct PerformancePredictionConfig {
    pub enable_ml_prediction: bool,
    pub max_history_size: usize,
    pub confidence_threshold: f64,
    pub enable_hardware_profiling: bool,
    pub analysis_depth: AnalysisDepth,
    pub prediction_strategy: PredictionStrategy,
    pub learning_rate: f64,
    pub enable_transfer_learning: bool,
    pub min_samples_for_ml: usize,
}

Configuration for performance prediction models

Fields

enable_ml_prediction: bool

Enable machine learning-based predictions

max_history_size: usize

Maximum historical data points to maintain

confidence_threshold: f64

Confidence threshold for predictions (0.0 to 1.0)

enable_hardware_profiling: bool

Enable hardware profiling for adaptive predictions

analysis_depth: AnalysisDepth

SciRS2 analysis depth for complexity estimation

prediction_strategy: PredictionStrategy

Prediction strategy to use

learning_rate: f64

Learning rate for adaptive models

enable_transfer_learning: bool

Enable cross-backend performance transfer learning

min_samples_for_ml: usize

Minimum samples required before using ML predictions

Trait Implementations

impl Clone for PerformancePredictionConfig

fn clone(&self) -> PerformancePredictionConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PerformancePredictionConfig

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

Formats the value using the given formatter.

impl Default for PerformancePredictionConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for PerformancePredictionConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for PerformancePredictionConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.