Function train_test_split 

pub fn train_test_split<Feature, Label>(
    dataset: ClassificationDataSet<Feature, Label>,
    test_size: f64,
) -> (ClassificationDataSet<Feature, Label>, ClassificationDataSet<Feature, Label>)

Split data and features into training and testing set. test_size must be between 0 and 1.

Panics

Panics if test_size is outside range 0..=1.

Example:

use rs_ml::{train_test_split};
use rs_ml::classification::ClassificationDataSet;
use ndarray::{arr1, arr2};

let features = arr2(&[
  [1., 0.],
  [0., 1.],
  [0., 0.],
  [1., 1.]]);

let labels = vec![1, 1, 0, 0];

let dataset = ClassificationDataSet::from(
  features.rows().into_iter().zip(labels));

let (train, test) = train_test_split(dataset, 0.25);