Enum ChainEffectLens 

pub enum ChainEffectLens {
    Raw,
    RankByDataset,
    ZByDataset,
}

Normalization lens that makes heterogeneous datasets comparable.

Variants

Raw

Oriented score as-is (best for a single dataset).

RankByDataset

Percentile rank within each dataset (0..1, 1 = best).

ZByDataset

Z-score within each dataset (higher = better).

Implementations

impl ChainEffectLens

pub fn as_wire(self) -> &'static str

Wire spelling of the lens (matches the serde rename).

pub fn requires_dataset(self) -> bool

Whether this lens requires an explicit dataset identity per observation.

Trait Implementations

impl Clone for ChainEffectLens

fn clone(&self) -> ChainEffectLens

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for ChainEffectLens

impl Debug for ChainEffectLens

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ChainEffectLens

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for ChainEffectLens

impl PartialEq for ChainEffectLens

fn eq(&self, other: &ChainEffectLens) -> bool

Equality operator ==.

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

Inequality operator !=.

impl Serialize for ChainEffectLens

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ChainEffectLens