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)

MinMax(F, 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.

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

fn eq(&self, other: &ScalingMethod<F>) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

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