NodeClassification

ruvector_graph::hybrid::graph_neural

Struct NodeClassification 

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pub struct NodeClassification {
    pub node_id: NodeId,
    pub predicted_class: usize,
    pub class_probabilities: Vec<f32>,
    pub confidence: f32,
}
Expand description

Result of node classification

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§node_id: NodeId§predicted_class: usize§class_probabilities: Vec<f32>§confidence: f32

Trait Implementations§

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impl Clone for NodeClassification

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fn clone(&self) -> NodeClassification

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

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

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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<'de> Deserialize<'de> for NodeClassification

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl Serialize for NodeClassification

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

Serialize this value into the given Serde serializer. Read more

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

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Gets the TypeId of self. Read more
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Immutably borrows from an owned value. Read more
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fn borrow_mut(&mut self) -> &mut T

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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. Read more
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impl<T> From<T> for T

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where T: Clone,

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Converts to this type from a reference to the input type.
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fn into_either(self, into_left: bool) -> Either<Self, Self>

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const ALIGN: usize

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