Enum ClassifierTrainingMode 

pub enum ClassifierTrainingMode {
    Kernel,
    Scanner,
}

How a classifier learns. Recall uses the same kernel geometry as training.

Variants

Kernel

One kernel sample and one class sample per burst.

Scanner

Slide kernel_size across each mapped field and label it from the mask.

Implementations

impl ClassifierTrainingMode

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

Genome and API spelling.

pub fn parse(value: &str) -> Result<Self, String>

Parse a stored mode. Absent values are not accepted here.

Trait Implementations

impl Clone for ClassifierTrainingMode

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for ClassifierTrainingMode

impl Debug for ClassifierTrainingMode

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

Formats the value using the given formatter.

impl Default for ClassifierTrainingMode

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ClassifierTrainingMode

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for ClassifierTrainingMode

impl PartialEq for ClassifierTrainingMode

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

Equality operator ==.

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

Inequality operator !=.

impl Serialize for ClassifierTrainingMode

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 ClassifierTrainingMode