Enum Labels 

pub enum Labels {
    Ints(Vec<i64>),
    Text(Vec<String>),
}

A model’s own labels: integers or text, never both and never neither.

ONNX writes a classifier’s classes into two mutually exclusive attributes — classlabels_int64s and classlabels_strings — and ZipMap keys its maps the same two ways. A reader holding two vectors would admit a node that declared both, or neither; a sum admits exactly one, which is the number a classifier has.

Variants

Ints(Vec<i64>)

Integer labels.

Text(Vec<String>)

Text labels.

Implementations

impl Labels

pub fn len(&self) -> usize

How many labels there are — the width of a score row.

pub fn is_empty(&self) -> bool

Whether there are none, which no fitted classifier has.

pub fn at(&self, positions: &[usize], device: &Device) -> Result<Value>

The labels at these positions, as the value a graph reports.

Trait Implementations

impl Clone for Labels

fn clone(&self) -> Labels

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Labels

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

Formats the value using the given formatter.

impl Eq for Labels

impl PartialEq for Labels

fn eq(&self, other: &Labels) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for Labels