Struct cuvsNNDescentIndexParams 

#[repr(C)]
pub struct cuvsNNDescentIndexParams {
    pub metric: cuvsDistanceType,
    pub metric_arg: f32,
    pub graph_degree: usize,
    pub intermediate_graph_degree: usize,
    pub max_iterations: usize,
    pub termination_threshold: f32,
    pub return_distances: bool,
    pub dist_comp_dtype: cuvsNNDescentDistCompDtype,
}

@defgroup nn_descent_c_index_params The nn-descent algorithm parameters. @{ / /** @brief Parameters used to build an nn-descent index

metric: The distance metric to use metric_arg: The argument used by distance metrics like Minkowskidistance graph_degree: For an input dataset of dimensions (N, D), determines the final dimensions of the all-neighbors knn graph which turns out to be of dimensions (N, graph_degree) intermediate_graph_degree: Internally, nn-descent builds an all-neighbors knn graph of dimensions (N, intermediate_graph_degree) before selecting the final graph_degree neighbors. It’s recommended that intermediate_graph_degree >= 1.5 * graph_degree max_iterations: The number of iterations that nn-descent will refine the graph for. More iterations produce a better quality graph at cost of performance termination_threshold: The delta at which nn-descent will terminate its iterations return_distances: Boolean to decide whether to return distances array dist_comp_dtype: dtype to use for distance computation. Defaults to NND_DIST_COMP_AUTO which automatically determines the best dtype for distance computation based on the dataset dimensions. Use NND_DIST_COMP_FP32 for better precision at the cost of performance and memory usage. This option is only valid when data type is fp32. Use NND_DIST_COMP_FP16 for better performance and memory usage at the cost of precision.

Fields

metric: cuvsDistanceType

metric_arg: f32

graph_degree: usize

intermediate_graph_degree: usize

max_iterations: usize

termination_threshold: f32

return_distances: bool

dist_comp_dtype: cuvsNNDescentDistCompDtype

Trait Implementations

impl Clone for cuvsNNDescentIndexParams

fn clone(&self) -> cuvsNNDescentIndexParams

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for cuvsNNDescentIndexParams

impl Debug for cuvsNNDescentIndexParams

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

Formats the value using the given formatter.