[−][src]Struct naivebayes::NaiveBayes
Methods
impl NaiveBayes
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pub fn new() -> NaiveBayes
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creates a new instance of a NaiveBayes
classifier.
pub fn train(&mut self, data: &Vec<String>, label: &String)
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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>
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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>
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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, U> Into for T where
U: From<T>,
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U: From<T>,
impl<T> From for T
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impl<T, U> TryFrom for T where
U: Into<T>,
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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>
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impl<T> Borrow for T where
T: ?Sized,
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T: ?Sized,
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> BorrowMut for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T, U> TryInto for T where
U: TryFrom<T>,
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U: TryFrom<T>,