Enum linfa_preprocessing::error::PreprocessingError[−][src]

pub enum PreprocessingError {
Show 15 variants
    WrongMeasureForScaler(String, String),
    TooManySubsamples(usize, usize),
    NotEnoughSamples,
    InvalidFloat,
    FlippedMinMaxRange,
    InvalidNGramBoundaries(usize, usize),
    FlippedNGramBoundaries(usize, usize),
    InvalidDocumentFrequencies(f32, f32),
    FlippedDocumentFrequencies(f32, f32),
    RegexError(Error),
    IoError(Error),
    EncodingError(Cow<'static, str>),
    LinalgError(LinalgError),
    NdarrayStatsEmptyError(EmptyInput),
    LinfaError(Error),
}

Variants

WrongMeasureForScaler(String, String)

Tuple Fields of WrongMeasureForScaler

0: String1: String

TooManySubsamples(usize, usize)

Tuple Fields of TooManySubsamples

0: usize1: usize

NotEnoughSamples

InvalidFloat

FlippedMinMaxRange

InvalidNGramBoundaries(usize, usize)

Tuple Fields of InvalidNGramBoundaries

0: usize1: usize

FlippedNGramBoundaries(usize, usize)

Tuple Fields of FlippedNGramBoundaries

0: usize1: usize

InvalidDocumentFrequencies(f32, f32)

Tuple Fields of InvalidDocumentFrequencies

0: f321: f32

FlippedDocumentFrequencies(f32, f32)

Tuple Fields of FlippedDocumentFrequencies

0: f321: f32

RegexError(Error)

Tuple Fields of RegexError

0: Error

IoError(Error)

Tuple Fields of IoError

0: Error

EncodingError(Cow<'static, str>)

Tuple Fields of EncodingError

0: Cow<'static, str>

LinalgError(LinalgError)

Tuple Fields of LinalgError

0: LinalgError

NdarrayStatsEmptyError(EmptyInput)

Tuple Fields of NdarrayStatsEmptyError

0: EmptyInput

LinfaError(Error)

Tuple Fields of LinfaError

0: Error

Trait Implementations

[src]

impl Debug for PreprocessingError

[src]

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

Formats the value using the given formatter. Read more

[src]

impl Display for PreprocessingError

[src]

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

Formats the value using the given formatter. Read more

[src]

impl Error for PreprocessingError

[src]

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

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

[src]

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

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

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

1.0.0[src]

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

[src]

impl<F: Float, D: Data<Elem = F>, T: AsTargets> Fit<ArrayBase<D, Dim<[usize ; 2]>>, T, PreprocessingError> for LinearScalerParams<F>

[src]

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

Fits the input dataset accordng to the scaler method. Will return an error if the dataset does not contain any samples or (in the case of MinMax scaling) if the specified range is not valid.