Struct DomainAdaptation 

pub struct DomainAdaptation<S = Untrained> { /* private fields */ }

Domain Adaptation for Multi-Task Learning

Implements domain adaptation techniques to transfer knowledge between different domains in multi-task settings.

Examples

use sklears_multioutput::transfer_learning::DomainAdaptation;
// Use SciRS2-Core for arrays and random number generation (SciRS2 Policy)
use scirs2_core::ndarray::array;

let source_data = array![[1.0, 2.0], [2.0, 3.0]];
let source_labels = array![[1.0], [0.0]];
let target_data = array![[1.1, 2.1], [2.1, 3.1]];
let target_labels = array![[1.0], [0.0]];

let adaptation = DomainAdaptation::new()
    .adaptation_strength(0.3)
    .learning_rate(0.01);

Implementations

impl DomainAdaptation<Untrained>

pub fn new() -> Self

Create a new DomainAdaptation instance

pub fn adaptation_strength(self, strength: Float) -> Self

Set the adaptation strength

pub fn learning_rate(self, lr: Float) -> Self

Set the learning rate

pub fn max_iter(self, max_iter: usize) -> Self

Set the maximum number of iterations

pub fn random_state(self, seed: Option<u64>) -> Self

Set the random state for reproducibility

pub fn fit( &self, source_X: &ArrayView2<'_, Float>, source_y: &ArrayView2<'_, Float>, target_X: &ArrayView2<'_, Float>, target_y: &ArrayView2<'_, Float>, ) -> SklResult<DomainAdaptation<DomainAdaptationTrained>>

Fit the domain adaptation model

impl DomainAdaptation<DomainAdaptationTrained>

pub fn predict(&self, X: &ArrayView2<'_, Float>) -> SklResult<Array2<Float>>

Predict using the trained domain adaptation model

pub fn extract_features( &self, X: &ArrayView2<'_, Float>, ) -> SklResult<Array2<Float>>

Extract domain-invariant features

pub fn predict_domain( &self, X: &ArrayView2<'_, Float>, ) -> SklResult<Array1<Float>>

Predict domain labels (0 for source-like, 1 for target-like)

Trait Implementations

impl<S: Clone> Clone for DomainAdaptation<S>

fn clone(&self) -> DomainAdaptation<S>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<S: Debug> Debug for DomainAdaptation<S>

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

Formats the value using the given formatter.

impl Default for DomainAdaptation<Untrained>

fn default() -> Self

Returns the “default value” for a type.

impl Estimator for DomainAdaptation<Untrained>

type Config = ()

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<(), SklearsError>

Validate estimator configuration with detailed error context

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

Check if estimator is compatible with given data dimensions

fn metadata(&self) -> EstimatorMetadata

Get estimator metadata

impl Estimator for DomainAdaptation<DomainAdaptationTrained>

type Config = ()

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<(), SklearsError>

Validate estimator configuration with detailed error context

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

Check if estimator is compatible with given data dimensions

fn metadata(&self) -> EstimatorMetadata

Get estimator metadata