Enum gapi_grpc::google::cloud::aiplatform::v1beta1::threshold_config::Threshold

pub enum Threshold {
    Value(f64),
}

Variants

Value(f64)

Specify a threshold value that can trigger the alert. If this threshold config is for feature distribution distance:

1. For categorical feature, the distribution distance is calculated by L-inifinity norm.
2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature.

Implementations

impl Threshold

pub fn encode<B>(&self, buf: &mut B) where
    B: BufMut, 

pub fn merge<B>(
    field: &mut Option<Threshold>,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

pub fn encoded_len(&self) -> usize

Trait Implementations

impl Clone for Threshold

fn clone(&self) -> Threshold

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Threshold

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

Formats the value using the given formatter.

impl PartialEq<Threshold> for Threshold

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

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

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

This method tests for !=.

impl StructuralPartialEq for Threshold