[−][src]Struct naivebayes::NaiveBayes
Methods
impl NaiveBayes[src]
pub fn new() -> NaiveBayes[src]
creates a new instance of a NaiveBayes classifier.
pub fn train(&mut self, data: &Vec<String>, label: &String)[src]
trains the model with a Vec<String> of tokens, associating it with a String label.
pub fn classify(&mut self, data: &Vec<String>) -> HashMap<String, f64>[src]
classify a Vec<String> of tokens returning a map of tokens and probabilities
as keys and values, respectively.
pub fn log_classify(&mut self, data: &Vec<String>) -> HashMap<String, f64>[src]
classify a Vec<String> of tokens returning a map of tokens and log-probabilities
as keys and values, respectively. Using log_classify may prevent underflows.
Auto Trait Implementations
impl Send for NaiveBayes
impl Sync for NaiveBayes
Blanket Implementations
impl<T> From for T[src]
impl<T, U> Into for T where
U: From<T>, [src]
U: From<T>,
impl<T, U> TryFrom for T where
U: Into<T>, [src]
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>[src]
impl<T> Borrow for T where
T: ?Sized, [src]
T: ?Sized,
impl<T> Any for T where
T: 'static + ?Sized, [src]
T: 'static + ?Sized,
impl<T> BorrowMut for T where
T: ?Sized, [src]
T: ?Sized,
fn borrow_mut(&mut self) -> &mut T[src]
impl<T, U> TryInto for T where
U: TryFrom<T>, [src]
U: TryFrom<T>,