Struct KernelClassifier 

pub struct KernelClassifier { /* private fields */ }

Kernel classifier using simple rule-based logic.

With ml-tuner feature: uses aprender::RandomForestClassifier (SHOWCASE-BRICK-001)

Implementations

impl KernelClassifier

pub fn new() -> Self

pub fn with_random_forest(n_estimators: usize) -> Self

Create a classifier with aprender RandomForest (ml-tuner feature)

pub fn train(&mut self, data: &[(TunerFeatures, u32)]) -> Result<(), TunerError>

Train the classifier using aprender RandomForest (ml-tuner feature)

Labels should be kernel type indices (0=TiledQ4K, 1=CoalescedQ4K, etc.)

pub fn predict(&self, features: &TunerFeatures) -> KernelRecommendation

Predict best kernel based on features

Trait Implementations

impl Clone for KernelClassifier

fn clone(&self) -> KernelClassifier

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for KernelClassifier

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

Formats the value using the given formatter.

impl Default for KernelClassifier

fn default() -> KernelClassifier

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for KernelClassifier

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for KernelClassifier

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

where __S: Serializer,

Serialize this value into the given Serde serializer.