use ndarray_linalg::Norm;

use ndarray_linalg::{Norm, Scalar};

        println!("idf vector: {:?}", idf_vector);

        println!("idf vector sm: {:?}", idf_vector);

        idf_vector.mapv_inplace(|df| (n_samples as f64 / df).log10() + 1.0);

        idf_vector.mapv_inplace(|df| (n_samples as f64 / df).ln() + 1.0);

    pub fn transform(&self, mut matrix: Array2<f64>) -> Array2<f64> {

    pub fn transform(&self, matrix: Array2<f64>) -> Array2<f64> {
        let mut matrix = matrix;

    }
    pub fn fit_transform(&mut self, matrix: Array2<f64>) -> Array2<f64> {
        if self.idf.is_none() {
            self.fit(&matrix);
        }
        self.transform(matrix)

                // This is a bit wasteful since we allocate a new String for every word

        println!("{:?}", r);

        //println!("{:?}", r);