Struct linfa_bayes::MultinomialNbValidParams
source · [−]pub struct MultinomialNbValidParams<F, L> { /* private fields */ }
Expand description
A verified hyper-parameter set ready for the estimation of a Multinomial Naive Bayes model.
See MultinomialNb
for information on the model and MultinomialNbParams
for information on hyperparameters.
Implementations
sourceimpl<F: Float, L> MultinomialNbValidParams<F, L>
impl<F: Float, L> MultinomialNbValidParams<F, L>
Trait Implementations
sourceimpl<F: Clone, L: Clone> Clone for MultinomialNbValidParams<F, L>
impl<F: Clone, L: Clone> Clone for MultinomialNbValidParams<F, L>
sourcefn clone(&self) -> MultinomialNbValidParams<F, L>
fn clone(&self) -> MultinomialNbValidParams<F, L>
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
sourceimpl<F: Debug, L: Debug> Debug for MultinomialNbValidParams<F, L>
impl<F: Debug, L: Debug> Debug for MultinomialNbValidParams<F, L>
sourceimpl<F, L, D, T> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, NaiveBayesError> for MultinomialNbValidParams<F, L> where
F: Float,
L: Label + Ord,
D: Data<Elem = F>,
T: AsSingleTargets<Elem = L> + Labels<Elem = L>,
impl<F, L, D, T> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, NaiveBayesError> for MultinomialNbValidParams<F, L> where
F: Float,
L: Label + Ord,
D: Data<Elem = F>,
T: AsSingleTargets<Elem = L> + Labels<Elem = L>,
type Object = MultinomialNb<F, L>
fn fit(
&self,
dataset: &DatasetBase<ArrayBase<D, Ix2>, T>
) -> Result<Self::Object>
sourceimpl<'a, F, L, D, T> FitWith<'a, ArrayBase<D, Dim<[usize; 2]>>, T, NaiveBayesError> for MultinomialNbValidParams<F, L> where
F: Float,
L: Label + 'a,
D: Data<Elem = F>,
T: AsSingleTargets<Elem = L> + Labels<Elem = L>,
impl<'a, F, L, D, T> FitWith<'a, ArrayBase<D, Dim<[usize; 2]>>, T, NaiveBayesError> for MultinomialNbValidParams<F, L> where
F: Float,
L: Label + 'a,
D: Data<Elem = F>,
T: AsSingleTargets<Elem = L> + Labels<Elem = L>,
type ObjectIn = Option<MultinomialNb<F, L>>
type ObjectOut = Option<MultinomialNb<F, L>>
fn fit_with(
&self,
model_in: Self::ObjectIn,
dataset: &DatasetBase<ArrayBase<D, Ix2>, T>
) -> Result<Self::ObjectOut>
sourceimpl<F: PartialEq, L: PartialEq> PartialEq<MultinomialNbValidParams<F, L>> for MultinomialNbValidParams<F, L>
impl<F: PartialEq, L: PartialEq> PartialEq<MultinomialNbValidParams<F, L>> for MultinomialNbValidParams<F, L>
sourcefn eq(&self, other: &MultinomialNbValidParams<F, L>) -> bool
fn eq(&self, other: &MultinomialNbValidParams<F, L>) -> bool
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
sourcefn ne(&self, other: &MultinomialNbValidParams<F, L>) -> bool
fn ne(&self, other: &MultinomialNbValidParams<F, L>) -> bool
This method tests for !=
.
impl<F, L> StructuralPartialEq for MultinomialNbValidParams<F, L>
Auto Trait Implementations
impl<F, L> RefUnwindSafe for MultinomialNbValidParams<F, L> where
F: RefUnwindSafe,
L: RefUnwindSafe,
impl<F, L> Send for MultinomialNbValidParams<F, L> where
F: Send,
L: Send,
impl<F, L> Sync for MultinomialNbValidParams<F, L> where
F: Sync,
L: Sync,
impl<F, L> Unpin for MultinomialNbValidParams<F, L> where
F: Unpin,
L: Unpin,
impl<F, L> UnwindSafe for MultinomialNbValidParams<F, L> where
F: UnwindSafe,
L: UnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more