Struct ColumnTransformer 

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

ColumnTransformer applies different transformers to different columns

Implementations

impl ColumnTransformer<Untrained>

pub fn new() -> Self

Create a new ColumnTransformer

pub fn add_transformer<T>( self, name: &str, transformer: T, columns: ColumnSelector, ) -> Self

where T: TransformerWrapper + 'static,

Add a transformer for specific columns

pub fn remainder(self, strategy: RemainderStrategy) -> Self

Set the remainder strategy

pub fn preserve_order(self, preserve: bool) -> Self

Set whether to preserve column order

pub fn n_jobs(self, n_jobs: Option<usize>) -> Self

Set number of parallel jobs

pub fn validate_input(self, validate: bool) -> Self

Set input validation

pub fn error_strategy(self, strategy: ColumnErrorStrategy) -> Self

Set error handling strategy

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

Enable/disable parallel execution

pub fn fallback_transformer<T>(self, transformer: T) -> Self

where T: TransformerWrapper + 'static,

Set fallback transformer for error handling

impl ColumnTransformer<Trained>

pub fn n_features_in(&self) -> usize

Get the number of features seen during fitting

pub fn output_indices(&self) -> &HashMap<String, Vec<usize>>

Get the output indices mapping

pub fn remainder_indices(&self) -> &Vec<usize>

Get the remainder indices

Trait Implementations

impl<State: Debug> Debug for ColumnTransformer<State>

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

Formats the value using the given formatter.

impl Default for ColumnTransformer<Untrained>

fn default() -> Self

Returns the “default value” for a type.

impl Estimator for ColumnTransformer<Untrained>

type Config = ColumnTransformerConfig

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 ColumnTransformer<Trained>

type Config = ColumnTransformerConfig

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

type Fitted = ColumnTransformer<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

impl Transform<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>> for ColumnTransformer<Trained>

fn transform(&self, x: &Array2<Float>) -> Result<Array2<Float>>

Transform the input data