Enum Error 

#[non_exhaustive]
pub enum Error {
    InvalidDimensions {
        expected: String,
        actual: String,
    },
    InvalidParameter {
        name: String,
        value: String,
        reason: String,
    },
    ModelArchitecture(String),
    Training(String),
    Optimizer(String),
    LossFunction(String),
    Augmentation(String),
    Checkpoint(String),
    TransferLearning(String),
    Metric(String),
    FeatureNotAvailable {
        feature: String,
        cargo_feature: String,
    },
    Core(OxiGdalError),
    Image(String),
    Serialization(String),
    Io(Error),
    Numerical(String),
    EarlyStopping {
        reason: String,
    },
    InvalidState(String),
    Backend(String),
    NotImplemented(String),
}

Error types for ML foundation operations.

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

InvalidDimensions

Invalid input dimensions

Fields

expected: String

Expected dimension description

actual: String

Actual dimension found

InvalidParameter

Invalid parameter value

Fields

name: String

Parameter name

value: String

Parameter value

reason: String

Reason for invalidity

ModelArchitecture(String)

Model architecture error

Training(String)

Training error

Optimizer(String)

Optimizer error

LossFunction(String)

Loss function error

Augmentation(String)

Data augmentation error

Checkpoint(String)

Checkpoint I/O error

TransferLearning(String)

Transfer learning error

Metric(String)

Metric computation error

FeatureNotAvailable

Feature not available

Fields

feature: String

Feature name that is not available

cargo_feature: String

Cargo feature required to enable this functionality

Core(OxiGdalError)

OxiGDAL core error

Image(String)

Image processing error

Serialization(String)

Serialization/deserialization error

Io(Error)

I/O error

Numerical(String)

Numerical error (overflow, underflow, NaN, etc.)

EarlyStopping

Early stopping triggered

Fields

reason: String

Reason for early stopping

InvalidState(String)

Invalid model state

Backend(String)

Backend error

NotImplemented(String)

Not implemented

Implementations

impl Error

pub fn invalid_dimensions( expected: impl Into<String>, actual: impl Into<String>, ) -> Self

Creates an invalid dimensions error.

pub fn invalid_parameter( name: impl Into<String>, value: impl Display, reason: impl Into<String>, ) -> Self

Creates an invalid parameter error.

pub fn feature_not_available( feature: impl Into<String>, cargo_feature: impl Into<String>, ) -> Self

Creates a feature not available error.

pub fn numerical(msg: impl Into<String>) -> Self

Creates a numerical error.

pub fn early_stopping(reason: impl Into<String>) -> Self

Creates an early stopping error.

Trait Implementations

impl Debug for Error

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

Formats the value using the given formatter.

impl Display for Error

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

Formats the value using the given formatter.

impl Error for Error

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 From<Error> for Error

fn from(source: Error) -> Self

Converts to this type from the input type.

impl From<OxiGdalError> for Error

fn from(source: OxiGdalError) -> Self

Converts to this type from the input type.