Trait CanonicalDataset 

pub trait CanonicalDataset {
    // Required methods
    fn data(&self) -> &ArrowDataset;
    fn num_features(&self) -> usize;
    fn num_classes(&self) -> usize;
    fn feature_names(&self) -> &'static [&'static str];
    fn target_name(&self) -> &'static str;
    fn description(&self) -> &'static str;

    // Provided methods
    fn len(&self) -> usize { ... }
    fn is_empty(&self) -> bool { ... }
}

A canonical ML dataset with train/test split support

Required Methods

fn data(&self) -> &ArrowDataset

Returns the full dataset

fn num_features(&self) -> usize

Returns the number of features (excluding label)

fn num_classes(&self) -> usize

Returns the number of classes (for classification datasets)

fn feature_names(&self) -> &'static [&'static str]

Returns the feature column names

fn target_name(&self) -> &'static str

Returns the label/target column name

fn description(&self) -> &'static str

Returns a description of the dataset

Provided Methods

fn len(&self) -> usize

Returns the number of samples

fn is_empty(&self) -> bool

Returns true if the dataset is empty

Implementors

impl CanonicalDataset for Cifar10Dataset

impl CanonicalDataset for Cifar100Dataset

impl CanonicalDataset for FashionMnistDataset

impl CanonicalDataset for IrisDataset

impl CanonicalDataset for MnistDataset