ndarray_glm::logistic_link

Struct Logit

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pub struct Logit {}
Expand description

The canonical link function for logistic regression is the logit function g(p) = log(p/(1-p)).

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impl Link<Logistic> for Logit

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fn func<F: Float>(y: F) -> F

Maps the expectation value of the response variable to the linear predictor. In general this is determined by a composition of the inverse natural parameter transformation and the canonical link function.
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fn func_inv<F: Float>(lin_pred: F) -> F

Maps the linear predictor to the expectation value of the response.
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impl Canonical for Logit

Auto Trait Implementations§

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impl Freeze for Logit

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impl RefUnwindSafe for Logit

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impl Send for Logit

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impl Sync for Logit

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impl Unpin for Logit

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impl UnwindSafe for Logit

Blanket Implementations§

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> Transform for T
where T: Canonical,

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fn nat_param<F>( lin_pred: 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.

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fn adjust_errors_variance<F>( errors: ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>, variance: ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>, _lin_pred: &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.

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fn d_nat_param<F>( lin_pred: &ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>, ) -> ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>
where F: Float,

The derivative of the transformation to the natural parameter. If it is zero in a region that the IRLS is in the algorithm may have difficulty converging.
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<V, T> VZip<V> for T
where V: MultiLane<T>,

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fn vzip(self) -> V