Struct ClassificationMeasurement 

pub struct ClassificationMeasurement {
    pub classes: HashMap<String, String>,
    pub measurement: String,
    pub type: Type,
}

Fields

classes: HashMap<String, String>

measurement: String

type: Type

Implementations

impl ClassificationMeasurement

pub fn new( classes: HashMap<String, String>, measurement: String, type: Type, ) -> ClassificationMeasurement

Trait Implementations

impl Clone for ClassificationMeasurement

fn clone(&self) -> ClassificationMeasurement

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ClassificationMeasurement

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

Formats the value using the given formatter.

impl Default for ClassificationMeasurement

fn default() -> ClassificationMeasurement

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ClassificationMeasurement

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ClassificationMeasurement

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl Serialize for ClassificationMeasurement

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 ClassificationMeasurement