Enum ReductionError 

#[non_exhaustive]
pub enum ReductionError {
    NotEnoughSamples,
    EmbeddingTooSmall(usize),
    StepsZero,
    LinalgError(LinalgError),
    LinfaError(Error),
    NdarrayRandError(NormalError),
    InvalidPrecision,
    NonPositiveEmbeddingSize,
    DimensionIncrease(usize, usize),
}

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)

NdarrayRandError(NormalError)

InvalidPrecision

NonPositiveEmbeddingSize

DimensionIncrease(usize, usize)

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)>

Returns 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, request: &mut Request<'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<F, Proj, Rec, T, R> Fit<Rec, T, ReductionError> for RandomProjectionValidParams<Proj, R>

where F: Float, Proj: ProjectionMethod, Rec: Records<Elem = F>, R: Rng + Clone, Proj::RandomDistribution: Distribution<F>,

type Object = RandomProjection<Proj, F>

fn fit( &self, dataset: &DatasetBase<Rec, T>, ) -> Result<Self::Object, ReductionError>

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.

impl From<Error> for ReductionError

fn from(source: NormalError) -> Self

Converts to this type from the input type.