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HDCConfig

scirs2_ndimage::hyperdimensional_computing::types

Struct HDCConfig 

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pub struct HDCConfig {
    pub hypervector_dim: usize,
    pub sparsity: f64,
    pub similarity_threshold: f64,
    pub training_iterations: usize,
    pub learning_rate: f64,
    pub bundling_capacity: usize,
    pub binding_strength: f64,
    pub cleanup_threshold: f64,
}
Expand description

Configuration for hyperdimensional computing

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§hypervector_dim: usize

Dimensionality of hypervectors (typically 10,000+)

§sparsity: f64

Sparsity level (fraction of dimensions that are non-zero)

§similarity_threshold: f64

Similarity threshold for recognition

§training_iterations: usize

Number of training iterations

§learning_rate: f64

Learning rate for adaptation

§bundling_capacity: usize

Bundling capacity (number of vectors to bundle)

§binding_strength: f64

Binding strength for compositional operations

§cleanup_threshold: f64

Cleanup threshold for memory operations

Trait Implementations§

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impl Clone for HDCConfig

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fn clone(&self) -> HDCConfig

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for HDCConfig

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

Formats the value using the given formatter. Read more
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impl Default for HDCConfig

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fn default() -> Self

Returns the “default value” for a type. Read more

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🔬This is a nightly-only experimental API. (clone_to_uninit)
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