Struct IsolationForest 

pub struct IsolationForest { /* private fields */ }

Isolation Forest kernel.

Anomaly detection using ensemble of isolation trees. Anomalies are isolated quickly (short path lengths) while normal points require more splits.

Implementations

impl IsolationForest

pub fn new() -> Self

Create a new Isolation Forest kernel.

pub fn compute( data: &DataMatrix, n_trees: usize, sample_size: usize, contamination: f64, ) -> AnomalyResult

Train and score using Isolation Forest.

Arguments

• data - Input data matrix
• n_trees - Number of isolation trees
• sample_size - Subsample size for each tree
• contamination - Expected proportion of anomalies (for threshold)

Trait Implementations

impl Clone for IsolationForest

fn clone(&self) -> IsolationForest

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for IsolationForest

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

Formats the value using the given formatter.

impl Default for IsolationForest

fn default() -> Self

Returns the “default value” for a type.

impl GpuKernel for IsolationForest

fn metadata(&self) -> &KernelMetadata

Returns the kernel metadata.

fn validate(&self) -> Result<(), KernelError>

Validate kernel configuration.

fn id(&self) -> &str

Returns the kernel ID.

fn requires_gpu_native(&self) -> bool

Returns true if this kernel requires GPU-native execution.

fn health_check(&self) -> HealthStatus

Perform a health check on this kernel.

fn shutdown(&self) -> Result<(), KernelError>

Graceful shutdown of the kernel.

fn refresh_config(&mut self, _config: &KernelConfig) -> Result<(), KernelError>

Refresh kernel configuration at runtime.