[][src]Enum linreg::Error

pub enum Error {
    TooSteep,
    Mean,
    InputLenDif,
    NoElements,
}

The kinds of errors that can occur when calculating a linear regression.

Variants

TooSteep

The slope is too steep to represent, approaching infinity.

Mean

Failed to calculate mean.

This means the input was empty or had too many elements.

InputLenDif

Lengths of the inputs are different.

NoElements

Can't compute linear regression of zero elements

Trait Implementations

impl Debug for Error[src]

impl Display for Error[src]

impl PartialEq<Error> for Error[src]

impl Copy for Error[src]

impl StructuralPartialEq for Error[src]

impl Clone for Error[src]

Auto Trait Implementations

impl Unpin for Error

impl Send for Error

impl Sync for Error

impl UnwindSafe for Error

impl RefUnwindSafe for Error

Blanket Implementations

impl<T> From<T> for T[src]

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
[src]

type Error = !

The type returned in the event of a conversion error.

impl<T, U> Into<U> for T where
    U: From<T>, 
[src]

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
[src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<T> Borrow<T> for T where
    T: ?Sized
[src]

impl<T> BorrowMut<T> for T where
    T: ?Sized
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impl<T> Any for T where
    T: 'static + ?Sized
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impl<T> ToOwned for T where
    T: Clone
[src]

type Owned = T

The resulting type after obtaining ownership.

impl<T> ToString for T where
    T: Display + ?Sized
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