pub struct BlockStat { /* private fields */ }Expand description
Gathers statistics for each block obtained from the Ann flathnsw representation for comparison with those obtained of the
original graph representation.
We collect mean distances inside a block and mean distance for edge crossing a block boundary.
We also collect transition probabilities between blocks.
The data collected depend on parameter ef_construction used in Hnsw creation.
The higher ef_construction, the more representative are collected data, at the expense of cpu.
ef = 48 or 64 seem a good compromise, a rule of thumb is ef should be higher than mean graph degree.
Implementations§
Source§impl BlockStat
impl BlockStat
pub fn new( blocnum: usize, block_degree: u32, mean_dist: f64, mean_dist_in: f32, mean_dist_out: f32, min_dist_in_block: f64, transition_proba: Vec<f32>, kl_divergence: f32, ) -> Self
Sourcepub fn get_blocnum(&self) -> usize
pub fn get_blocnum(&self) -> usize
returns num of block for hich the structure maintains statistics
Sourcepub fn get_block_degree(&self) -> u32
pub fn get_block_degree(&self) -> u32
returns total number of edge involving a node in this block
Sourcepub fn get_mean(&self) -> f64
pub fn get_mean(&self) -> f64
returns distance among all neighbours reference in flat neighborhood
Sourcepub fn get_mean_dist_in(&self) -> f32
pub fn get_mean_dist_in(&self) -> f32
returns mean of distance between embedded pairs of point inside block
Sourcepub fn get_mean_dist_out(&self) -> f32
pub fn get_mean_dist_out(&self) -> f32
returns mean of distance between embedded pairs of point one inside , the other outside block
Sourcepub fn get_min_dist_in_block(&self) -> f64
pub fn get_min_dist_in_block(&self) -> f64
minimal dist among neighbour in same block as point
Sourcepub fn get_fraction_out(&self) -> f32
pub fn get_fraction_out(&self) -> f32
returns fraction of transition going out of block (i.e going into block of highrer index)
Sourcepub fn get_kl_divergence(&self) -> f32
pub fn get_kl_divergence(&self) -> f32
for a given block, edges going out of block have an block arrival distribution. This function return kl_divergene the transition observed in the original graph and the embedded graph.
Trait Implementations§
Source§impl<'de> Deserialize<'de> for BlockStat
impl<'de> Deserialize<'de> for BlockStat
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__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Auto Trait Implementations§
impl Freeze for BlockStat
impl RefUnwindSafe for BlockStat
impl Send for BlockStat
impl Sync for BlockStat
impl Unpin for BlockStat
impl UnwindSafe for BlockStat
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