Struct DropCorrelatedFeatures 

pub struct DropCorrelatedFeatures {
    pub threshold: f64,
    pub drop_columns: HashSet<String>,
    /* private fields */
}

Removes one feature from each highly correlated pair (using Pearson correlation).

Fields

threshold: f64

drop_columns: HashSet<String>

Implementations

impl DropCorrelatedFeatures

pub fn new(threshold: f64) -> Self

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

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

Trait Implementations

impl Transformer for DropCorrelatedFeatures

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).