pub enum CvScoring {
LogLoss,
Accuracy,
}Expand description
Criterion for choosing C in LogisticRegressionCV.
Variants§
LogLoss
Mean log loss of the predicted probabilities (scikit-learn’s
"neg_log_loss", its default from version 1.11). The natural choice for
propensity scores, which enter DML scores as 1 / m(x).
Accuracy
Share of correctly classified observations (scikit-learn’s default before 1.11).
Trait Implementations§
impl Copy for CvScoring
impl Eq for CvScoring
impl StructuralPartialEq for CvScoring
Auto Trait Implementations§
impl Freeze for CvScoring
impl RefUnwindSafe for CvScoring
impl Send for CvScoring
impl Sync for CvScoring
impl Unpin for CvScoring
impl UnsafeUnpin for CvScoring
impl UnwindSafe for CvScoring
Blanket Implementations§
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T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
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fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
impl<ST, DT> CastableFrom<ST, Initialized, Initialized> for DT
impl<ST, DT> CastableFrom<ST, Uninit, Uninit> for DT
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
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fn into_either(self, into_left: bool) -> Either<Self, Self> ⓘ
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self> ⓘ
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more