Struct NeuralGraphOptimizer

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pub struct NeuralGraphOptimizer { /* private fields */ }

Expand description

Neural Graph Optimizer combining policy and value networks

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impl NeuralGraphOptimizer

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pub fn new(graph: DynamicGraph, config: OptimizerConfig) -> Self

Create a new neural graph optimizer

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pub fn optimize_step(&mut self) -> OptimizationResult

Run one optimization step

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pub fn search_skip_regions(&self) -> Vec<usize>

Get learned skip regions for subpolynomial search

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pub fn search(&self, query: &[f64], k: usize) -> Vec<VertexId> ⓘ

Search with learned structure

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pub fn graph(&self) -> &DynamicGraph

Get underlying graph

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pub fn graph_mut(&mut self) -> &mut DynamicGraph

Get mutable graph

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pub fn optimize(&mut self, steps: usize) -> Vec<OptimizationResult>

Run multiple optimization steps

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pub fn reset(&mut self)

Reset optimizer state

Auto Trait Implementations§

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impl UnwindSafe for NeuralGraphOptimizer

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impl<T> Any for T
where T: 'static + ?Sized,

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fn borrow_mut(&mut self) -> &mut T

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fn from(t: T) -> T

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fn into(self) -> U

Calls U::from(self).

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impl<T> IntoEither for T

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Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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