Struct ArbitraryNumberImputer 

pub struct ArbitraryNumberImputer {
    pub columns: Vec<String>,
    pub number: f64,
}

Replaces missing values with the given number.

Fields

columns: Vec<String>

number: f64

Implementations

impl ArbitraryNumberImputer

pub fn new(columns: Vec<String>, number: f64) -> Self

pub async fn fit(&mut self, _df: &DataFrame) -> FeatureFactoryResult<()>

Stateless transformer: fit does nothing.

pub fn transform(&self, df: DataFrame) -> FeatureFactoryResult<DataFrame>

Transform validates inputs and applies imputation.

Trait Implementations

impl Transformer for ArbitraryNumberImputer

fn fit<'life0, 'life1, 'async_trait>( &'life0 mut self, df: &'life1 DataFrame, ) -> Pin<Box<dyn Future<Output = FeatureFactoryResult<()>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Fit the transformer given a DataFrame.

fn transform(&self, df: DataFrame) -> FeatureFactoryResult<DataFrame>

Transform the input DataFrame, returning a new DataFrame with the transformation applied.

fn is_stateful(&self) -> bool

Returns true if the transformer is stateful (i.e. requires a call to fit before transform can be called).