Struct MockEstimator 

pub struct MockEstimator { /* private fields */ }

Mock estimator with configurable behavior for testing

Implementations

impl MockEstimator

pub fn new() -> Self

Create a new mock estimator with default configuration

pub fn with_config(config: MockConfig) -> Self

Create a mock estimator with custom configuration

pub fn builder() -> MockEstimatorBuilder

Create a builder for configuring mock estimator

pub fn config(&self) -> &MockConfig

Get the current configuration

pub fn mock_state(&self) -> MockStateSnapshot

Get mock state information for testing

pub fn reset_state(&self)

Reset the mock state (useful for test setup)

pub fn simulate_error(&self, error_type: MockErrorType) -> Result<()>

Simulate a specific error condition

Trait Implementations

impl Clone for MockEstimator

fn clone(&self) -> MockEstimator

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MockEstimator

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

Formats the value using the given formatter.

impl Default for MockEstimator

fn default() -> Self

Returns the “default value” for a type.

impl Estimator for MockEstimator

type Config = MockConfig

Configuration type for the estimator

type Error = SklearsError

Error type for the estimator

type Float = f64

The numeric type used by this estimator

fn config(&self) -> &Self::Config

Get estimator configuration

fn validate_config(&self) -> Result<()>

Validate estimator configuration with detailed error context

fn check_compatibility(&self, n_samples: usize, n_features: usize) -> Result<()>

Check if estimator is compatible with given data dimensions

fn metadata(&self) -> EstimatorMetadata

Get estimator metadata

impl<'a> Fit<ArrayBase<ViewRepr<&'a f64>, Dim<[usize; 2]>>, ArrayBase<ViewRepr<&'a f64>, Dim<[usize; 1]>>> for MockEstimator

type Fitted = TrainedMockEstimator

The fitted model type

fn fit( self, x: &ArrayView2<'a, f64>, y: &ArrayView1<'a, f64>, ) -> 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)>

where Self: Sized,

Fit with custom validation and early stopping