Struct SimpleImputer 

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

Simple Imputer

Imputation transformer for completing missing values using simple strategies. The imputer replaces missing values using the mean, median, most frequent value, a constant value, or time series imputation along each column.

Parameters

• missing_values - The placeholder for missing values (NaN by default)
• strategy - Imputation strategy (‘mean’, ‘median’, ‘most_frequent’, ‘constant’, ‘forward_fill’, ‘backward_fill’, ‘random_sampling’)
• fill_value - Fill value to use when strategy is ‘constant’
• copy - Whether to make a copy of the input data

Examples

use sklears_impute::SimpleImputer;
use sklears_core::traits::{Transform, Fit};
use scirs2_core::ndarray::array;

let X = array![[1.0, 2.0], [f64::NAN, 3.0], [7.0, 6.0]];

let imputer = SimpleImputer::new()
    .strategy("mean".to_string());
let fitted = imputer.fit(&X.view(), &()).unwrap();
let X_imputed = fitted.transform(&X.view()).unwrap();

Implementations

impl SimpleImputer<Untrained>

pub fn new() -> Self

Create a new SimpleImputer instance

pub fn missing_values(self, missing_values: f64) -> Self

Set the missing values placeholder

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

Set the imputation strategy

pub fn fill_value(self, fill_value: Option<f64>) -> Self

Set the fill value for constant strategy

pub fn copy(self, copy: bool) -> Self

Set whether to copy the input data

Trait Implementations

impl<S: Clone> Clone for SimpleImputer<S>

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

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<S: Debug> Debug for SimpleImputer<S>

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

Formats the value using the given formatter.

impl Default for SimpleImputer<Untrained>

fn default() -> Self

Returns the “default value” for a type.

impl Estimator for SimpleImputer<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 Fit<ArrayBase<ViewRepr<&f64>, Dim<[usize; 2]>>, ()> for SimpleImputer<Untrained>

type Fitted = SimpleImputer<SimpleImputerTrained>

The fitted model type

fn fit(self, X: &ArrayView2<'_, Float>, _y: &()) -> SklResult<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 Imputer for SimpleImputer<Untrained>

fn fit_transform( &self, X: &ArrayView2<'_, f64>, ) -> ImputationResult<Array2<f64>>

Fit the imputer to the data and return the imputed data

impl Transform<ArrayBase<ViewRepr<&f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>> for SimpleImputer<SimpleImputerTrained>

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

Transform the input data