Struct DataCharacteristics 

pub struct DataCharacteristics {
    pub n_samples: usize,
    pub nfeatures: usize,
    pub sparsity: f64,
    pub data_range: f64,
    pub outlier_ratio: f64,
    pub has_missing: bool,
    pub memory_footprint_mb: f64,
    pub elementsize: usize,
}

Data characteristics for optimization decisions

Fields

n_samples: usize

Number of samples

nfeatures: usize

Number of features

sparsity: f64

Data sparsity (0.0 = dense, 1.0 = all zeros)

data_range: f64

Data range (max - min)

outlier_ratio: f64

Outlier ratio

has_missing: bool

Whether data has missing values

memory_footprint_mb: f64

Estimated memory footprint in MB

elementsize: usize

Data type size (e.g., 8 for f64)

Implementations

impl DataCharacteristics

pub fn analyze(data: &ArrayView2<'_, f64>) -> Result<Self>

Analyze data characteristics from array view

pub fn is_large_dataset(&self) -> bool

Check if data is considered “large”

pub fn is_wide_dataset(&self) -> bool

Check if data is considered “wide” (more features than samples)

pub fn is_sparse(&self) -> bool

Check if data is sparse

pub fn has_outliers(&self) -> bool

Check if data has significant outliers

Trait Implementations

impl Clone for DataCharacteristics

fn clone(&self) -> DataCharacteristics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DataCharacteristics

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

Formats the value using the given formatter.