diff --git a/Cargo.toml b/Cargo.toml
index 77343155..9b5bf8b7 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -2,7 +2,7 @@
 name = "smartcore"
 description = "Machine Learning in Rust."
 homepage = "https://smartcorelib.org"
-version = "0.4.5"
+version = "0.4.6"
 authors = ["smartcore Developers"]
 edition = "2021"
 license = "Apache-2.0"
diff --git a/src/algorithm/neighbour/mod.rs b/src/algorithm/neighbour/mod.rs
index c13e914a..4a60365b 100644
--- a/src/algorithm/neighbour/mod.rs
+++ b/src/algorithm/neighbour/mod.rs
@@ -1,4 +1,4 @@
-#![allow(clippy::ptr_arg)]
+#![allow(clippy::ptr_arg, clippy::needless_range_loop)]
 //! # Nearest Neighbors Search Algorithms and Data Structures
 //!
 //! Nearest neighbor search is a basic computational tool that is particularly relevant to machine learning,
diff --git a/src/cluster/mod.rs b/src/cluster/mod.rs
index eb8c39ff..a268f50c 100644
--- a/src/cluster/mod.rs
+++ b/src/cluster/mod.rs
@@ -1,3 +1,4 @@
+#![allow(clippy::ptr_arg, clippy::needless_range_loop)]
 //! # Clustering
 //!
 //! Clustering is the type of unsupervised learning where you divide the population or data points into a number of groups such that data points in the same groups
diff --git a/src/dataset/mod.rs b/src/dataset/mod.rs
index d7d456c6..91628942 100644
--- a/src/dataset/mod.rs
+++ b/src/dataset/mod.rs
@@ -1,3 +1,4 @@
+#![allow(clippy::ptr_arg, clippy::needless_range_loop)]
 //! Datasets
 //!
 //! In this module you will find small datasets that are used in `smartcore` mostly for demonstration purposes.
diff --git a/src/linalg/basic/matrix.rs b/src/linalg/basic/matrix.rs
index 1a4ae4dc..58f9846a 100644
--- a/src/linalg/basic/matrix.rs
+++ b/src/linalg/basic/matrix.rs
@@ -385,7 +385,7 @@ impl<T: Debug + Display + Copy + Sized> Array<T, (usize, usize)> for DenseMatrix
     }
 
     fn is_empty(&self) -> bool {
-        self.ncols > 0 && self.nrows > 0
+        self.ncols < 1 || self.nrows < 1
     }
 
     fn iterator<'b>(&'b self, axis: u8) -> Box<dyn Iterator<Item = &'b T> + 'b> {