Struct ArmsConfig 

pub struct ArmsConfig {
    pub dimensionality: usize,
    pub proximity: Arc<dyn Proximity>,
    pub merge: Arc<dyn Merge>,
    pub normalize_on_insert: bool,
    pub tiers: TierConfig,
}

Main ARMS configuration

Defines the dimensional space and default operations.

Fields

dimensionality: usize

Dimensionality of the space

Set this to match your model’s hidden size. Examples: 768 (BERT), 1024 (GPT-2 medium), 4096 (large models)

proximity: Arc<dyn Proximity>

Proximity function for similarity calculations

merge: Arc<dyn Merge>

Merge function for hierarchical composition

normalize_on_insert: bool

Whether to normalize points on insertion

tiers: TierConfig

Tier configuration

Implementations

impl ArmsConfig

pub fn new(dimensionality: usize) -> Self

Create a new configuration with specified dimensionality

Uses default proximity (Cosine) and merge (Mean) functions.

pub fn with_proximity<P: Proximity + 'static>(self, proximity: P) -> Self

Set a custom proximity function

pub fn with_merge<M: Merge + 'static>(self, merge: M) -> Self

Set a custom merge function

pub fn with_normalize(self, normalize: bool) -> Self

Set normalization behavior

pub fn with_tiers(self, tiers: TierConfig) -> Self

Set tier configuration

Trait Implementations

impl Clone for ArmsConfig

fn clone(&self) -> ArmsConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Default for ArmsConfig

fn default() -> Self

Default configuration: 768 dimensions, cosine proximity, mean merge