Added tests for Matern52
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@@ -4,7 +4,7 @@ use super::Kernel;
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pub struct Matern52 {
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var: f64,
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_l_scale: f64,
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l_scale: f64,
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lambda: f64,
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}
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@@ -12,15 +12,23 @@ impl Matern52 {
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pub fn new(var: f64, l_scale: f64) -> Self {
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Matern52 {
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var,
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_l_scale: l_scale,
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l_scale,
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lambda: 5.0f64.sqrt() / l_scale,
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}
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}
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}
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impl Kernel for Matern52 {
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fn k_mat(&self, _ts1: &[f64], _ts2: Option<&[f64]>) -> Array2<f64> {
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unimplemented!();
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fn k_mat(&self, ts1: &[f64], ts2: Option<&[f64]>) -> Array2<f64> {
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let ts2 = ts2.unwrap_or(ts1);
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let sqrt5 = 5.0f64.sqrt();
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let r = super::distance(ts1, ts2) / self.l_scale;
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let r2 = r.mapv(|v| (-sqrt5 * v).exp());
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let r3 = r.mapv(|v| v.powi(2));
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r2 * (1.0 + sqrt5 * r + (5.0 / 3.0) * r3) * self.var
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}
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fn k_diag(&self, ts: &[f64]) -> Array1<f64> {
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@@ -59,6 +67,10 @@ impl Kernel for Matern52 {
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]
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}
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fn noise_effect(&self) -> Array2<f64> {
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array![[0.0], [0.0], [1.0]]
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}
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fn transition(&self, t0: f64, t1: f64) -> Array2<f64> {
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let d = t1 - t0;
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let a = self.lambda;
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@@ -102,3 +114,77 @@ impl Kernel for Matern52 {
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self.var * array![[x11, x12, x13], [x12, x22, x23], [x13, x23, x33]]
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}
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}
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#[cfg(test)]
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mod tests {
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extern crate intel_mkl_src;
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use approx::assert_abs_diff_eq;
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use rand::{distributions::Standard, thread_rng, Rng};
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use super::*;
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#[test]
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fn test_kernel_matrix() {
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let kernel = Matern52::new(0.2, 5.0);
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let ts = [1.26, 1.46, 2.67];
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assert_abs_diff_eq!(
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kernel.k_mat(&ts, None),
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array![
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[0.2, 0.19973384192198906, 0.18769647349199411],
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[0.19973384192198906, 0.2, 0.19077859940208852],
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[0.18769647349199411, 0.19077859940208852, 0.2]
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]
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);
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}
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#[test]
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fn test_kernel_diag() {
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let kernel = Matern52::new(0.2, 5.0);
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let ts: Vec<_> = thread_rng()
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.sample_iter::<f64, _>(Standard)
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.take(10)
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.map(|x| x * 10.0)
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.collect();
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assert_eq!(kernel.k_mat(&ts, None).diag(), kernel.k_diag(&ts));
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}
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#[test]
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fn test_kernel_order() {
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let kernel = Matern52::new(0.2, 5.0);
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let m = kernel.order();
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assert_eq!(kernel.state_mean(0.0).shape(), &[m]);
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assert_eq!(kernel.state_cov(0.0).shape(), &[m, m]);
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assert_eq!(kernel.measurement_vector().shape(), &[m]);
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assert_eq!(kernel.feedback().shape(), &[m, m]);
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assert_eq!(kernel.noise_effect().shape()[0], m);
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assert_eq!(kernel.transition(0.0, 1.0).shape(), &[m, m]);
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assert_eq!(kernel.noise_cov(0.0, 1.0).shape(), &[m, m]);
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}
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#[test]
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fn test_ssm_variance() {
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let kernel = Matern52::new(0.2, 5.0);
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let ts: Vec<_> = thread_rng()
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.sample_iter::<f64, _>(Standard)
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.take(10)
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.map(|x| x * 10.0)
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.collect();
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let h = kernel.measurement_vector();
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let vars = ts
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.iter()
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.map(|t| h.dot(&kernel.state_cov(*t)).dot(&h))
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.collect::<Vec<_>>();
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assert_abs_diff_eq!(Array::from(vars), kernel.k_diag(&ts));
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}
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}
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