Struct IrisDataset 

pub struct IrisDataset { /* private fields */ }

The Iris flower dataset

A classic dataset for classification containing measurements of 150 iris flowers from 3 species (setosa, versicolor, virginica).

Implementations

impl IrisDataset

pub fn load() -> Result<Self>

Load the embedded Iris dataset

Errors

Returns an error if dataset construction fails.

pub fn into_inner(self) -> ArrowDataset

Get the underlying Arrow dataset

pub fn features(&self) -> Result<ArrowDataset>

Get feature columns as a new dataset (excludes species)

Errors

Returns an error if transform fails.

pub fn labels(&self) -> Vec<String>

Get species labels as string array

pub fn labels_numeric(&self) -> Vec<i32>

Get species labels as numeric (0=setosa, 1=versicolor, 2=virginica)

Trait Implementations

impl CanonicalDataset for IrisDataset

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

fn len(&self) -> usize

Returns the number of samples

fn is_empty(&self) -> bool

Returns true if the dataset is empty

impl Clone for IrisDataset

fn clone(&self) -> IrisDataset

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for IrisDataset

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

Formats the value using the given formatter.