Enum linfa_bayes::BayesError

pub enum BayesError {
    Stats(MinMaxError),
    BaseCrate(Error),
}

An error when using a GaussianNB classifier

Variants

Stats(MinMaxError)

Error when performing Max operation on data

BaseCrate(Error)

Trait Implementations

impl Debug for BayesError

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

Formats the value using the given formatter.

impl Display for BayesError

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

Formats the value using the given formatter.

impl Error for BayesError

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, L> Fit<ArrayBase<D, Dim<[usize; 2]>>, L, BayesError> for GaussianNbParams where
    F: Float,
    D: Data<Elem = F>,
    L: AsTargets<Elem = usize> + Labels<Elem = usize>, 

type Object = GaussianNb<F>

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

Fit the model

Example

let x = array![
    [-2., -1.],
    [-1., -1.],
    [-1., -2.],
    [1., 1.],
    [1., 2.],
    [2., 1.]
];
let y = array![1, 1, 1, 2, 2, 2];

let data = Dataset::new(x, y);
let model = GaussianNbParams::params().fit(&data)?;
let pred = model.predict(&data);

assert_abs_diff_eq!(pred, data.try_single_target()?);

impl From<Error> for BayesError

fn from(source: Error) -> Self

Performs the conversion.

impl From<MinMaxError> for BayesError

fn from(source: MinMaxError) -> Self

Performs the conversion.