Struct CountVectorizer 

pub struct CountVectorizer {
    pub min_df: usize,
    pub max_df_frac: f64,
}

Fields

min_df: usize

max_df_frac: f64

Implementations

impl CountVectorizer

pub fn new() -> Self

pub fn with_min_df(self, m: usize) -> Self

pub fn with_max_df_frac(self, f: f64) -> Self

pub fn fit_transform(&self, docs: &[&str]) -> Result<(Vec<String>, Array2<f64>)>

pub fn fit_transform_sparse( &self, docs: &[&str], ) -> Result<(Vec<String>, CsrMatrix<f64>)>

Sparse-output counterpart. For high-vocab corpora the dense fit_transform blows up memory (~n_docs × vocab × 8 bytes); fit_transform_sparse stays at O(total_token_occurrences).

Trait Implementations

impl Clone for CountVectorizer

fn clone(&self) -> CountVectorizer

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CountVectorizer

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for CountVectorizer

fn default() -> Self

Returns the “default value” for a type.