Type Alias MLError 

pub type MLError = MLError;

Aliased Type

pub enum MLError {
    MLOperationError(String),
    ModelCreationError(String),
    OptimizationError(String),
    DataError(String),
    CircuitExecutionError(String),
    FeatureExtractionError(String),
    InvalidParameter(String),
    InvalidInput(String),
    InvalidConfiguration(String),
    ConfigurationError(String),
    DimensionMismatch(String),
    NotImplemented(String),
    NotSupported(String),
    ValidationError(String),
    ModelNotTrained(String),
    ComputationError(String),
    IOError(Error),
    QuantumError(QuantRS2Error),
    ShapeError(ShapeError),
    JsonError(Error),
    NumericalError(String),
    BackendError(String),
}

Variants

MLOperationError(String)

Error during training or inference

ModelCreationError(String)

Error during model creation

OptimizationError(String)

Error in optimization process

DataError(String)

Error in data handling

CircuitExecutionError(String)

Error in quantum circuit execution

FeatureExtractionError(String)

Error during feature extraction

InvalidParameter(String)

Invalid parameter

InvalidInput(String)

Invalid input

InvalidConfiguration(String)

Invalid configuration

ConfigurationError(String)

Configuration error

DimensionMismatch(String)

Dimension mismatch error

NotImplemented(String)

Not implemented

NotSupported(String)

Not supported

ValidationError(String)

Validation error

ModelNotTrained(String)

Model not trained

ComputationError(String)

Computation error

IOError(Error)

I/O error

QuantumError(QuantRS2Error)

Quantum error

ShapeError(ShapeError)

Shape error from ndarray

JsonError(Error)

JSON serialization error

NumericalError(String)

Numerical error during computation

BackendError(String)

Backend error