Struct DatasetCharacteristics 

pub struct DatasetCharacteristics {
    pub num_entities: usize,
    pub num_relations: usize,
    pub num_triples: usize,
    pub avg_degree: f64,
    pub is_sparse: bool,
    pub has_hierarchies: bool,
    pub has_complex_relations: bool,
    pub domain: Option<String>,
}

Dataset characteristics for model selection

Fields

num_entities: usize

Number of unique entities

num_relations: usize

Number of unique relations

num_triples: usize

Total number of triples

avg_degree: f64

Average node degree

is_sparse: bool

Whether the graph is sparse (avg_degree << num_entities)

has_hierarchies: bool

Whether the graph has hierarchical structure

has_complex_relations: bool

Whether the graph has complex multi-hop relations

domain: Option<String>

Domain of the knowledge graph (e.g., “biomedical”, “general”, “social”)

Implementations

impl DatasetCharacteristics

pub fn infer( num_entities: usize, num_relations: usize, num_triples: usize, ) -> Self

Automatically infer characteristics from basic statistics

pub fn density(&self) -> f64

Calculate graph density

pub fn estimated_memory_mb(&self, embedding_dim: usize) -> f64

Estimate memory requirements in MB

Trait Implementations

impl Clone for DatasetCharacteristics

fn clone(&self) -> DatasetCharacteristics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DatasetCharacteristics

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for DatasetCharacteristics

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for DatasetCharacteristics

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

where __S: Serializer,

Serialize this value into the given Serde serializer.