fix: formatting

src/neighbors/knn_classifier.rs

@@ -1,9 +1,9 @@
 use serde::{Deserialize, Serialize};
 
-use crate::neighbors::{KNNAlgorithmName, KNNAlgorithm};
 use crate::linalg::{row_iter, Matrix};
 use crate::math::distance::Distance;
 use crate::math::num::FloatExt;
+use crate::neighbors::{KNNAlgorithm, KNNAlgorithmName};
 
 #[derive(Serialize, Deserialize, Debug)]
 pub struct KNNClassifierParameters {

src/neighbors/knn_regressor.rs

@@ -1,10 +1,9 @@
 use serde::{Deserialize, Serialize};
 
-use crate::neighbors::{KNNAlgorithmName, KNNAlgorithm};
 use crate::linalg::{row_iter, BaseVector, Matrix};
 use crate::math::distance::Distance;
 use crate::math::num::FloatExt;
-
+use crate::neighbors::{KNNAlgorithm, KNNAlgorithmName};
 
 #[derive(Serialize, Deserialize, Debug)]
 pub struct KNNRegressorParameters {
@@ -30,7 +29,7 @@ impl Default for KNNRegressorParameters {
 
 impl<T: FloatExt, D: Distance<Vec<T>, T>> PartialEq for KNNRegressor<T, D> {
     fn eq(&self, other: &Self) -> bool {
-        if self.k != other.k || self.y.len() != other.y.len(){
+        if self.k != other.k || self.y.len() != other.y.len() {
             return false;
         } else {
             for i in 0..self.y.len() {

src/neighbors/mod.rs

@@ -1,10 +1,10 @@
 //! # Nearest Neighbors
 
-use serde::{Deserialize, Serialize};
 use crate::algorithm::neighbour::cover_tree::CoverTree;
 use crate::algorithm::neighbour::linear_search::LinearKNNSearch;
 use crate::math::distance::Distance;
 use crate::math::num::FloatExt;
+use serde::{Deserialize, Serialize};
 
 ///
 pub mod knn_classifier;