Struct linfa_nn::BallTreeIndex

source ·
pub struct BallTreeIndex<'a, F: Float, D: Distance<F>> { /* private fields */ }
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Spatial indexing structure created by BallTree

Implementations§

Creates a BallTreeIndex using the K-D construction algorithm

Trait Implementations§

Returns a copy of the value. Read more
Performs copy-assignment from source. Read more
Formats the value using the given formatter. Read more
Returns the k points in the index that are the closest to the provided point, along with their positions in the original dataset. Points are returned in ascending order of the distance away from the provided points, and less than k points will be returned if the index contains fewer than k. Read more
Returns all the points in the index that are within the specified distance to the provided point, along with their positions in the original dataset. The points are not guaranteed to be in any order, though many algorithms return the points in order of distance. Read more
This method tests for self and other values to be equal, and is used by ==. Read more
This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason. Read more

Auto Trait Implementations§

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Gets the TypeId of self. Read more
Immutably borrows from an owned value. Read more
Mutably borrows from an owned value. Read more

Returns the argument unchanged.

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

The resulting type after obtaining ownership.
Creates owned data from borrowed data, usually by cloning. Read more
Uses borrowed data to replace owned data, usually by cloning. Read more
The type returned in the event of a conversion error.
Performs the conversion.
The type returned in the event of a conversion error.
Performs the conversion.