Enum linfa_preprocessing::linear_scaling::ScalingMethod

pub enum ScalingMethod<F: Float> {
    Standard(bool, bool),
    MinMax(F, F),
    MaxAbs,
}

Possible scaling methods for LinearScaler

• Standard (with mean, with std): subtracts the mean to each feature and scales it by the inverse of its standard deviation
• MinMax (min, max): scales each feature to fit in the range [min,max], default values are [0,1]
• MaxAbs: scales each feature by the inverse of its maximum absolute value, so that it fits the range [-1,1]

Variants

Standard(bool, bool)

Tuple Fields of Standard

0: bool1: bool

MinMax(F, F)

Tuple Fields of MinMax

0: F1: F

MaxAbs

Trait Implementations

impl<F: Clone + Float> Clone for ScalingMethod<F>

fn clone(&self) -> ScalingMethod<F>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F: Debug + Float> Debug for ScalingMethod<F>

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

Formats the value using the given formatter.

impl<F: Float> Display for ScalingMethod<F>

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

Formats the value using the given formatter.