[−][src]Struct ndarray_glm::logistic_link::Logit
The canonical link function for logistic regression is the logit function g(p) = log(p/(1-p)).
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for Logit
impl Send for Logit
impl Sync for Logit
impl Unpin for Logit
impl UnwindSafe for Logit
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> Transform for T where
T: Canonical,
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T: Canonical,
fn nat_param<F>(
ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>
) -> ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>> where
F: Float,
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ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>
) -> ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>> where
F: Float,
By defintion this function is the identity function for canonical links.
fn d_nat_param<F>(
&ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>
) -> ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>> where
F: Float,
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&ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>
) -> ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>> where
F: Float,
fn adjust_errors_variance<F>(
ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>,
ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>,
&ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>
) -> (ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>, ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>) where
F: Float,
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ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>,
ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>,
&ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>
) -> (ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>, ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>) where
F: Float,
The canonical link function requires no transformation of the error and variance terms.
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,