fix: add missing cinfo import in lasso.rs, fix all clippy warnings

Author: eprifti

src/bayesian_mcmc.rs

@@ -554,7 +554,7 @@ impl MCMCAnalysisTrace {
             log_post_trace: Vec::with_capacity(n_features),
             post_mean: 0.0,
             post_var: 0.0,
-            param: param,
+            param,
         }
     }
 
@@ -1033,8 +1033,8 @@ pub fn compute_mcmc(bp: &BayesPred, param: &Param, rng: &mut ChaCha8Rng) -> MCMC
         }
         for i in 0..nbeta {
             let cost = NegLogPostToMinimize {
-                bp: bp,
-                i: i,
+                bp,
+                i,
                 ind: &ind,
                 z: &z,
             };

src/cv.rs

@@ -403,9 +403,7 @@ impl CV {
             importances.push(collection_importance);
         }
 
-        Ok(ImportanceCollection {
-            importances: importances,
-        })
+        Ok(ImportanceCollection { importances })
     }
 
     /// Extracts the `Family of Best Models` population for a specific fold.
@@ -621,7 +619,7 @@ impl CV {
         Ok(CV {
             validation_folds,
             training_sets,
-            fold_collections: fold_collections,
+            fold_collections,
         })
     }
 }

src/data.rs

@@ -1287,7 +1287,7 @@ impl Data {
         });
 
         Data {
-            X: X,
+            X,
             y: samples.iter().map(|i| self.y[*i]).collect(),
             features: self.features.clone(),
             samples: samples.iter().map(|i| self.samples[*i].clone()).collect(),
@@ -1298,7 +1298,7 @@ impl Data {
             sample_len: samples.len(),
             classes: self.classes.clone(),
             feature_annotations: self.feature_annotations.clone(),
-            sample_annotations: sample_annotations,
+            sample_annotations,
         }
     }
 
@@ -1313,7 +1313,7 @@ impl Data {
     /// A new Data instance with the updated feature matrix.
     pub fn clone_with_new_x(&self, X: HashMap<(usize, usize), f64>) -> Data {
         Data {
-            X: X,
+            X,
             y: self.y.clone(),
             features: self.features.clone(),
             samples: self.samples.clone(),

src/param.rs

@@ -8,7 +8,6 @@ use std::error::Error;
 
 #[derive(Debug, Serialize, Deserialize, Clone, PartialEq)]
 #[allow(non_camel_case_types)]
-
 /// Fit function options for model evaluation
 pub enum FitFunction {
     /// Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC)
@@ -1180,7 +1179,6 @@ fn validate_penalties(param: &mut Param) -> Result<(), String> {
 }
 
 /// Default value definitions
-
 fn seed_default() -> u64 {
     4815162342
 }