Struct LogCpTransformer 

pub struct LogCpTransformer {
    pub columns: Vec<String>,
    pub constant: f64,
}

Applies logarithmic transformation with a constant to the values in the columns. Transformation: log(x + constant). Requires (min + constant) > 0.

Fields

columns: Vec<String>

constant: f64

Implementations

impl LogCpTransformer

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

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

Stateless transformer: fit does nothing.

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

Trait Implementations

impl Transformer for LogCpTransformer

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).