Enum linfa_reduction::ReductionError

#[non_exhaustive]
pub enum ReductionError {
    NotEnoughSamples,
    EmbeddingTooSmall(usize),
    StepsZero,
    LinalgError(LinalgError),
    LinfaError(Error),
}

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.

NotEnoughSamples

EmbeddingTooSmall(usize)

StepsZero

LinalgError(LinalgError)

LinfaError(Error)

Trait Implementations

impl Debug for ReductionError

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

Formats the value using the given formatter.

impl Display for ReductionError

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

Formats the value using the given formatter.

impl Error for ReductionError

fn source(&self) -> Option<&(dyn Error + 'static)>

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

fn description(&self) -> &str

👎Deprecated since 1.42.0: use the Display impl or to_string()

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

👎Deprecated since 1.33.0: replaced by Error::source, which can support downcasting

fn provide<'a>(&'a self, demand: &mut Demand<'a>)

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

Provides type based access to context intended for error reports.

impl<T, D: Data<Elem = f64>> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, ReductionError> 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 ReductionError

fn from(source: Error) -> Self

Converts to this type from the input type.

impl From<LinalgError> for ReductionError

fn from(source: LinalgError) -> Self

Converts to this type from the input type.