Struct DatasetMetaFeatures 

pub struct DatasetMetaFeatures {
    pub n_samples: usize,
    pub n_features: usize,
    pub feature_means: Vec<Float>,
    pub feature_stds: Vec<Float>,
    pub mean_correlation: Float,
    pub sparsity: Float,
    pub effective_dim: Float,
}

Meta-features extracted from datasets for kernel selection

Fields

n_samples: usize

Number of samples

n_features: usize

Number of features

feature_means: Vec<Float>

Feature mean magnitudes

feature_stds: Vec<Float>

Feature standard deviations

mean_correlation: Float

Inter-feature correlations (mean absolute)

sparsity: Float

Dataset sparsity (fraction of near-zero values)

effective_dim: Float

Effective dimensionality (ratio of explained variance)

Implementations

impl DatasetMetaFeatures

pub fn extract(x: &Array2<Float>) -> Result<Self>

Extract meta-features from a dataset

pub fn to_feature_vector(&self) -> Vec<Float>

Compute a feature vector for meta-learning models

Trait Implementations

impl Clone for DatasetMetaFeatures

fn clone(&self) -> DatasetMetaFeatures

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DatasetMetaFeatures

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for DatasetMetaFeatures

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for DatasetMetaFeatures

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

where __S: Serializer,

Serialize this value into the given Serde serializer.