Struct MathFeatures 

pub struct MathFeatures {
    pub features: Vec<(String, Expr)>,
}

Creates new features using arbitrary mathematical operations or expressions. The input is a vector of tuples with the following fields for each new feature: (new_feature_name, math expression to be computed).

Fields

features: Vec<(String, Expr)>

Implementations

impl MathFeatures

pub fn new(features: Vec<(String, Expr)>) -> Self

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

Stateless transformer: fit does nothing.

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

Adds the new features to the existing DataFrame.

Trait Implementations

impl Transformer for MathFeatures

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).