diff --git a/src/linalg/mod.rs b/src/linalg/mod.rs
index 4fb259f..c560b78 100644
--- a/src/linalg/mod.rs
+++ b/src/linalg/mod.rs
@@ -86,11 +86,11 @@ pub trait BaseVector<T: RealNumber>: Clone + Debug {
     /// Create a new vector from a &[T]
     /// ```
     /// use smartcore::linalg::naive::dense_matrix::*;
-    /// let slice: &[f64] = &[0., 0.5, 2., 3., 4.];
-    /// let a: Vec<f64> = BaseVector::from_slice(slice);
-    /// assert_eq!(a, vec![0., 0.5, 2., 3., 4.]);
+    /// let a: [f64; 5] = [0., 0.5, 2., 3., 4.];
+    /// let v: Vec<f64> = BaseVector::from_array(&a);
+    /// assert_eq!(v, vec![0., 0.5, 2., 3., 4.]);
     /// ```
-    fn from_slice(f: &[T]) -> Self {
+    fn from_array(f: &[T]) -> Self {
         let mut v = Self::zeros(f.len());
         for (i, elem) in f.iter().enumerate() {
             v.set(i, *elem);
diff --git a/src/naive_bayes/mod.rs b/src/naive_bayes/mod.rs
index ffc3e2e..f93d3bf 100644
--- a/src/naive_bayes/mod.rs
+++ b/src/naive_bayes/mod.rs
@@ -58,7 +58,7 @@ impl<T: RealNumber, M: Matrix<T>, D: NBDistribution<T, M>> BaseNaiveBayes<T, M,
                 *prediction
             })
             .collect::<Vec<T>>();
-        let y_hat = M::RowVector::from_slice(&predictions);
+        let y_hat = M::RowVector::from_array(&predictions);
         Ok(y_hat)
     }
 }