Enum MlError 

#[non_exhaustive]
pub enum MlError {
    InsufficientData(String),
}

Error type for ML operations.

Training is the only fallible step, and it fails only when there’s too little data to build a useful model — fitting itself is infallible.

Marked #[non_exhaustive] so future failure modes can be added without breaking downstream matches.

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.

InsufficientData(String)

Not enough training data (too few transactions or categories).

Trait Implementations

impl Debug for MlError

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

Formats the value using the given formatter.

impl Display for MlError

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

Formats the value using the given formatter.

impl Error for MlError

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.