Enum LearnerError 

pub enum LearnerError {
    DimensionMismatch {
        expected: usize,
        got: usize,
    },
    EmptyInput,
    InvalidLabel {
        label: f64,
    },
}

Errors that can be raised by OnlineLearner operations.

Variants

DimensionMismatch

Feature vector dimensionality does not match the learner.

Fields

expected: usize

got: usize

EmptyInput

An empty input (zero-length feature vector or empty sample slice) was provided where non-empty input is required.

InvalidLabel

A label value was provided that is invalid for the chosen algorithm (e.g. a value other than ±1.0 for binary classification).

Fields

label: f64

Trait Implementations

impl Clone for LearnerError

fn clone(&self) -> LearnerError

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LearnerError

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

Formats the value using the given formatter.

impl Display for LearnerError

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

Formats the value using the given formatter.

impl Error for LearnerError

fn source(&self) -> Option<&(dyn Error + 'static)>

Returns the lower-level source of this error, if any.

fn description(&self) -> &str

👎Deprecated since 1.42.0:

use the Display impl or to_string()

fn cause(&self) -> Option<&dyn Error>

👎Deprecated since 1.33.0:

replaced by Error::source, which can support downcasting

fn provide<'a>(&'a self, request: &mut Request<'a>)

🔬This is a nightly-only experimental API. (error_generic_member_access)

Provides type-based access to context intended for error reports.

impl PartialEq for LearnerError

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for LearnerError