Struct Dataset 

pub struct Dataset {
    pub features: Vec<DVector<f64>>,
    pub targets: Option<Vec<DVector<f64>>>,
    pub feature_names: Option<Vec<String>>,
    pub target_names: Option<Vec<String>>,
    pub metadata: DatasetMetadata,
}

A loaded dataset containing features and optional targets

Fields

features: Vec<DVector<f64>>

Feature vectors (inputs)

targets: Option<Vec<DVector<f64>>>

Target vectors (outputs) - optional for unsupervised learning

feature_names: Option<Vec<String>>

Feature names (if available)

target_names: Option<Vec<String>>

Target names (if available)

metadata: DatasetMetadata

Dataset metadata

Implementations

impl Dataset

pub fn new( features: Vec<DVector<f64>>, targets: Option<Vec<DVector<f64>>>, ) -> Self

Create a new dataset

pub fn subset(&self, indices: &[usize]) -> Dataset

Get a subset of the dataset

pub fn train_test_split(&self, train_ratio: f64) -> (Dataset, Dataset)

Split dataset into training and testing sets

pub fn describe(&self) -> DatasetStats

Get dataset statistics

Trait Implementations

impl Clone for Dataset

fn clone(&self) -> Dataset

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Dataset

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

Formats the value using the given formatter.