Implemented more functions

src/fitter/recursive.rs

@@ -33,7 +33,7 @@ impl RecursiveFitter {
         let m = kernel.order();
         let h = kernel.measurement_vector();
 
-        RecursiveFitter {
+        Self {
             ts_new: Vec::new(),
             kernel,
             ts: Vec::new(),
@@ -215,6 +215,7 @@ impl Fitter for RecursiveFitter {
         self.is_fitted = true;
     }
 
+    #[allow(clippy::many_single_char_names)]
     fn predict(&self, ts: &[f64]) -> (Vec<f64>, Vec<f64>) {
         if !self.is_fitted {
             panic!("new data since last call to `fit()`");