Enum linfa_reduction::error::Error

pub enum Error {
    NotEnoughSamples,
    LinalgError(LinalgError),
    LinfaError(Error),
}

Variants

NotEnoughSamples

LinalgError(LinalgError)

LinfaError(Error)

Trait Implementations

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<T, D: Data<Elem = f64>> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, Error> for PcaParams

Fit a PCA model given a dataset

The Principal Component Analysis takes the records of a dataset and tries to find the best fit in a lower dimensional space such that the maximal variance is retained.

Parameters

• dataset: A dataset with records in N dimensions

Returns

A fitted PCA model with origin and hyperplane

type Object = Pca<f64>

fn fit(&self, dataset: &DatasetBase<ArrayBase<D, Ix2>, T>) -> Result<Pca<f64>>

impl From<Error> for Error

fn from(source: Error) -> Self

Performs the conversion.

impl From<LinalgError> for Error

fn from(source: LinalgError) -> Self

Performs the conversion.