Struct TfidfVectorizer 

pub struct TfidfVectorizer {
    pub min_df: usize,
    pub max_df_frac: f64,
    pub norm_l2: bool,
}

Fields

min_df: usize

max_df_frac: f64

norm_l2: bool

Implementations

impl TfidfVectorizer

pub fn new() -> 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 TF-IDF. IDF is computed once per term, then applied element-wise to the sparse count matrix; optional L2-normalisation runs over each row’s non-zero slice.

Trait Implementations

impl Clone for TfidfVectorizer

fn clone(&self) -> TfidfVectorizer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TfidfVectorizer

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

Formats the value using the given formatter.

impl Default for TfidfVectorizer

fn default() -> Self

Returns the “default value” for a type.