Struct AdaptiveParameterSelector 

pub struct AdaptiveParameterSelector<State = Untrained> { /* private fields */ }

Adaptive parameter selector for preprocessing transformers

Implementations

impl AdaptiveParameterSelector<Untrained>

pub fn new() -> Self

Create a new adaptive parameter selector

pub fn conservative() -> Self

Create with conservative strategy

pub fn balanced() -> Self

Create with balanced strategy

pub fn aggressive() -> Self

Create with aggressive strategy

pub fn strategy(self, strategy: AdaptationStrategy) -> Self

Set the adaptation strategy

pub fn cross_validation(self, enable: bool, folds: usize) -> Self

Enable or disable cross-validation

pub fn time_budget(self, seconds: Float) -> Self

Set time budget for optimization

pub fn parallel(self, enable: bool) -> Self

Enable parallel processing

pub fn tolerance(self, tolerance: Float) -> Self

Set optimization tolerance

pub fn parameter_bounds(self, bounds: HashMap<String, (Float, Float)>) -> Self

Set parameter bounds

impl AdaptiveParameterSelector<Trained>

pub fn data_characteristics(&self) -> Option<&DataCharacteristics>

Get the analyzed data characteristics

pub fn optimal_parameters(&self) -> Option<&HashMap<String, Float>>

Get the optimal parameters

pub fn parameter_history(&self) -> Option<&Vec<ParameterEvaluation>>

Get parameter evaluation history

pub fn recommend_parameters(&self) -> Result<ParameterRecommendations>

Generate comprehensive parameter recommendations

pub fn adaptation_report(&self) -> Result<String>

Generate a comprehensive adaptation report

pub fn get_insights(&self) -> Vec<String>

Get adaptation recommendations as actionable insights

Trait Implementations

impl<State: Clone> Clone for AdaptiveParameterSelector<State>

fn clone(&self) -> AdaptiveParameterSelector<State>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<State: Debug> Debug for AdaptiveParameterSelector<State>

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

Formats the value using the given formatter.

impl Default for AdaptiveParameterSelector<Untrained>

fn default() -> Self

Returns the “default value” for a type.

impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ()> for AdaptiveParameterSelector<Untrained>

type Fitted = AdaptiveParameterSelector<Trained>

The fitted model type

fn fit(self, x: &Array2<Float>, _y: &()) -> Result<Self::Fitted>

Fit the model to the provided data with validation

fn fit_with_validation( self, x: &X, y: &Y, _x_val: Option<&X>, _y_val: Option<&Y>, ) -> Result<(Self::Fitted, FitMetrics), SklearsError>

where Self: Sized,

Fit with custom validation and early stopping