Fix tests

tests/kickscore-basics.rs

@@ -0,0 +1,45 @@
+extern crate intel_mkl_src;
+
+use approx::assert_abs_diff_eq;
+use kickscore as ks;
+
+#[test]
+fn kickscore_basic() {
+    let mut model = ks::BinaryModel::new(ks::BinaryModelObservation::Probit);
+
+    let k_spike = ks::kernel::Constant::new(0.5);
+
+    let k_tom = ks::kernel::Exponential::new(1.0, 1.0);
+
+    let k_jerry: Vec<Box<dyn ks::Kernel>> = vec![
+        Box::new(ks::kernel::Constant::new(1.0)),
+        Box::new(ks::kernel::Matern52::new(0.5, 1.0)),
+    ];
+
+    model.add_item("Spike", Box::new(k_spike));
+    model.add_item("Tom", Box::new(k_tom));
+    model.add_item("Jerry", Box::new(k_jerry));
+
+    model.observe(&["Jerry"], &["Tom"], 0.0);
+    model.observe(&["Jerry"], &["Tom"], 0.9);
+
+    model.observe(&["Tom"], &["Spike"], 1.7);
+    model.observe(&["Tom"], &["Jerry"], 2.1);
+
+    model.observe(&["Jerry"], &["Tom"], 3.0);
+    model.observe(&["Jerry"], &["Tom", "Spike"], 3.5);
+
+    model.fit();
+
+    let (p_win, _p_los) = model.probabilities(&[&"Jerry"], &[&"Tom"], 4.0);
+
+    assert_abs_diff_eq!(p_win, 0.7299975928462964, epsilon = f64::EPSILON);
+
+    let (p_win, _p_los) = model.probabilities(&[&"Jerry"], &[&"Tom"], 2.0);
+
+    assert_abs_diff_eq!(p_win, 0.4455095363120037, epsilon = f64::EPSILON);
+
+    let (p_win, _p_los) = model.probabilities(&[&"Jerry"], &[&"Tom"], -1.0);
+
+    assert_abs_diff_eq!(p_win, 0.903756079972532, epsilon = f64::EPSILON);
+}