diff --git a/reCTBN/src/parameter_learning.rs b/reCTBN/src/parameter_learning.rs
index 021b100..73193ca 100644
--- a/reCTBN/src/parameter_learning.rs
+++ b/reCTBN/src/parameter_learning.rs
@@ -1,6 +1,6 @@
 //! Module containing methods used to learn the parameters.
 
-use std::collections::{BTreeSet,HashMap};
+use std::collections::{BTreeSet, HashMap};
 
 use ndarray::prelude::*;
 
@@ -173,7 +173,10 @@ pub struct Cache<'a, P: ParameterLearning> {
 
 impl<'a, P: ParameterLearning> Cache<'a, P> {
     pub fn new(parameter_learning: &'a P) -> Cache<'a, P> {
-        Cache { parameter_learning, cache_persistent: HashMap::new() }
+        Cache {
+            parameter_learning,
+            cache_persistent: HashMap::new(),
+        }
     }
     pub fn fit<T: process::NetworkProcess>(
         &mut self,
@@ -187,7 +190,9 @@ impl<'a, P: ParameterLearning> Cache<'a, P> {
             // not cloning requires a minor and reasoned refactoring across the library
             Some(params) => params.clone(),
             None => {
-                let params = self.parameter_learning.fit(net, dataset, node, parent_set.clone());
+                let params = self
+                    .parameter_learning
+                    .fit(net, dataset, node, parent_set.clone());
                 self.cache_persistent.insert(parent_set, params.clone());
                 params
             }