Gammatest

Definition

gammatest is a simple rust implementation of the Gamma Test.

Gamma Test [1] is non-parametric test for feature selection frequently used in machine learning.

The gammatest crate is based on the paper [2].

References

[1] Stefánsson, A., Končar, N., & Jones, A. J. (1997). A note on the gamma test. Neural Computing & Applications, 5(3), 131-133.

[2] Kemp, S. E., Wilson, I. D., & Ware, J. A. (2004). A tutorial on the gamma test. International Journal of Simulation: Systems, Science and Technology, 6(1-2), 67-75.

Example

```rust use gammatest::*;

fn main() {
// Give the input matrix let inputs =[ [3.0f32, 4.0, 4.0].tovec(), [2.0f32, 1.0, 3.0].tovec(), [1.0f32, 0.0, 1.0].tovec(), [1.0f32, 1.0, 1.0].tovec(), ];

  // Give the output vector 
  let output = [54.0f32, 30.0, 3.0, 28.0];

  // p is the number of neighbors 
  let p : usize = 3;

  // Build the GammaTest using f32 data type
  let mut gt : GammaTest<f32> = GammaTest::new(&inputs, &output, p);

  // To use f64 data type 
  //let mut gt : GammaTest<f64> = GammaTest::new(&inputs, &output, p);

  // Call function compute() to compute GammaTest parameters.
  gt.compute();

  // Check results
  assert_eq!(gt.slope,  Some(33.54095));
  assert_eq!(gt.intercept, Some(20.578278));
}

```

Current development state

In the current version, gammatest uses the "Brute force approach" to sort k-near neighbors, which is a simple but slow method comparing to some others.