Struct smartcore::naive_bayes::multinomial::MultinomialNBParameters
source · pub struct MultinomialNBParameters {
pub alpha: f64,
pub priors: Option<Vec<f64>>,
}
Expand description
MultinomialNB
parameters. Use Default::default()
for default values.
Fields§
§alpha: f64
Additive (Laplace/Lidstone) smoothing parameter (0 for no smoothing).
priors: Option<Vec<f64>>
Prior probabilities of the classes. If specified the priors are not adjusted according to the data
Implementations§
source§impl MultinomialNBParameters
impl MultinomialNBParameters
sourcepub fn with_alpha(self, alpha: f64) -> Self
pub fn with_alpha(self, alpha: f64) -> Self
Additive (Laplace/Lidstone) smoothing parameter (0 for no smoothing).
sourcepub fn with_priors(self, priors: Vec<f64>) -> Self
pub fn with_priors(self, priors: Vec<f64>) -> Self
Prior probabilities of the classes. If specified the priors are not adjusted according to the data
Trait Implementations§
source§impl Clone for MultinomialNBParameters
impl Clone for MultinomialNBParameters
source§fn clone(&self) -> MultinomialNBParameters
fn clone(&self) -> MultinomialNBParameters
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl Debug for MultinomialNBParameters
impl Debug for MultinomialNBParameters
source§impl Default for MultinomialNBParameters
impl Default for MultinomialNBParameters
source§impl<TX: Number + Unsigned, TY: Number + Ord + Unsigned, X: Array2<TX>, Y: Array1<TY>> SupervisedEstimator<X, Y, MultinomialNBParameters> for MultinomialNB<TX, TY, X, Y>
impl<TX: Number + Unsigned, TY: Number + Ord + Unsigned, X: Array2<TX>, Y: Array1<TY>> SupervisedEstimator<X, Y, MultinomialNBParameters> for MultinomialNB<TX, TY, X, Y>
Auto Trait Implementations§
impl RefUnwindSafe for MultinomialNBParameters
impl Send for MultinomialNBParameters
impl Sync for MultinomialNBParameters
impl Unpin for MultinomialNBParameters
impl UnwindSafe for MultinomialNBParameters
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more