Enum linfa_elasticnet::Error

pub enum Error {
    NotEnoughSamples,
    IllConditioned,
    BaseCrate(Error),
}

Variants

NotEnoughSamples

The input has not enough samples

IllConditioned

The input is singular

BaseCrate(Error)

Trait Implementations

impl Clone for Error

fn clone(&self) -> Error

Returns a copy of the value.

pub fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

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)>

The lower-level source of this error, if any.

pub fn backtrace(&self) -> Option<&Backtrace>

🔬 This is a nightly-only experimental API. (backtrace)

Returns a stack backtrace, if available, of where this error occurred.

pub fn description(&self) -> &str

👎 Deprecated since 1.42.0:

use the Display impl or to_string()

pub fn cause(&self) -> Option<&dyn Error>

👎 Deprecated since 1.33.0:

replaced by Error::source, which can support downcasting

impl<F, D, T> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, Error> for ElasticNetParams<F> where
    F: Float + Lapack,
    D: Data<Elem = F>,
    T: AsTargets<Elem = F>, 

type Object = ElasticNet<F>

fn fit(
    &self,
    dataset: &DatasetBase<ArrayBase<D, Ix2>, T>
) -> Result<Self::Object>

Fit an elastic net model given a feature matrix x and a target variable y.

The feature matrix x must have shape (n_samples, n_features)

The target variable y must have shape (n_samples)

Returns a FittedElasticNet object which contains the fitted parameters and can be used to predict values of the target variable for new feature values.

impl From<Error> for Error

fn from(source: Error) -> Self

Performs the conversion.