Enum aws_sdk_machinelearning::error::PredictErrorKind

#[non_exhaustive]
pub enum PredictErrorKind {
    InternalServerException(InternalServerException),
    InvalidInputException(InvalidInputException),
    LimitExceededException(LimitExceededException),
    PredictorNotMountedException(PredictorNotMountedException),
    ResourceNotFoundException(ResourceNotFoundException),
    Unhandled(Unhandled),
}

Types of errors that can occur for the Predict operation.

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.

InternalServerException(InternalServerException)

An error on the server occurred when trying to process a request.

InvalidInputException(InvalidInputException)

An error on the client occurred. Typically, the cause is an invalid input value.

LimitExceededException(LimitExceededException)

The subscriber exceeded the maximum number of operations. This exception can occur when listing objects such as DataSource.

PredictorNotMountedException(PredictorNotMountedException)

The exception is thrown when a predict request is made to an unmounted MLModel.

ResourceNotFoundException(ResourceNotFoundException)

A specified resource cannot be located.

Unhandled(Unhandled)

An unexpected error occurred (e.g., invalid JSON returned by the service or an unknown error code).

When logging an error from the SDK, it is recommended that you either wrap the error in DisplayErrorContext, use another error reporter library that visits the error’s cause/source chain, or call Error::source for more details about the underlying cause.

Trait Implementations

impl Debug for PredictErrorKind

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

Formats the value using the given formatter.