Enum CoreError 

pub enum CoreError {
    ConfigError(String),
    TrainingError(String),
    PredictionError(String),
}

Central error type for the gradient boosting library.

CoreError represents all possible failure modes in the core library operations, including configuration issues, training failures, and prediction errors.

Variants

• ConfigError: Invalid model or tree configuration
• TrainingError: Failure during model training
• PredictionError: Failure during prediction

Note

The error type uses thiserror for automatic std::error::Error implementation. The thiserror crate must be in scope via use thiserror::Error or a re-export.

Variants

ConfigError(String)

Invalid configuration parameter or incompatible settings.

TrainingError(String)

Error during model training (e.g., insufficient data, numerical instability).

PredictionError(String)

Error during prediction (e.g., mismatched feature dimensions, missing data).

Trait Implementations

impl Debug for CoreError

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

Formats the value using the given formatter.

impl Display for CoreError

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

Formats the value using the given formatter.

impl Error for CoreError

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<TreeError> for CoreError

Conversion from tree errors to core library errors.

This From implementation enables seamless error propagation from tree construction up to the main crate::core::CoreError type used by the gradient booster.

All tree errors are converted to CoreError::TrainingError with a descriptive message.

fn from(err: TreeError) -> Self

Converts to this type from the input type.