diff --git a/src/num.rs b/src/num.rs
new file mode 100644
index 00000000..6a5dd3f3
--- /dev/null
+++ b/src/num.rs
@@ -0,0 +1,165 @@
+//! # Float Number
+//! Most algorithms in SmartCore rely on basic linear algebra operations like dot product, matrix decomposition and other subroutines that are defined for a set of float numbers.
+//! This module defines number sets and some useful functions that are used in [Linear Algebra](../../linalg/index.html) module.
+
+use num_traits::{Bounded, Float, FromPrimitive, Num, NumCast, Signed, ToPrimitive};
+use rand::prelude::*;
+use std::fmt::{Debug, Display};
+use std::iter::{Product, Sum};
+use std::ops::{AddAssign, DivAssign, MulAssign, SubAssign};
+
+/// Define a `Number` set that acquires traits from `num_traits` to make available a base trait  
+/// to be used by other usable sets like `FloatNumber`.
+pub trait Number:
+    Num
+    + FromPrimitive
+    + ToPrimitive
+    + Debug
+    + Display
+    + Copy
+    + Sum
+    + Product
+    + AddAssign
+    + SubAssign
+    + MulAssign
+    + DivAssign
+    + Bounded
+    + NumCast
+{
+}
+
+/// Defines float number
+/// <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-AMS_CHTML"></script>
+pub trait FloatNumber: Number + Float + Signed {
+    /// Copy sign from `sign` - another real number
+    fn copysign(self, sign: Self) -> Self;
+
+    /// Calculates natural \\( \ln(1+e^x) \\) without overflow.
+    fn ln_1pe(self) -> Self;
+
+    /// Efficient implementation of Sigmoid function, \\( S(x) = \frac{1}{1 + e^{-x}} \\), see [Sigmoid function](https://en.wikipedia.org/wiki/Sigmoid_function)
+    fn sigmoid(self) -> Self;
+
+    /// Returns pseudorandom number between 0 and 1
+    fn rand() -> Self;
+
+    /// Returns 2
+    fn two() -> Self;
+
+    /// Returns .5
+    fn half() -> Self;
+
+    /// Returns \\( x^2 \\)
+    fn square(self) -> Self {
+        self * self
+    }
+
+    /// Raw transmutation to u64
+    fn to_f32_bits(self) -> u32;
+}
+
+impl Number for f64 {}
+impl Number for f32 {}
+impl Number for i8 {}
+impl Number for i16 {}
+impl Number for i32 {}
+impl Number for i64 {}
+impl Number for u8 {}
+impl Number for u16 {}
+impl Number for u32 {}
+impl Number for u64 {}
+impl Number for usize {}
+
+impl FloatNumber for f64 {
+    fn copysign(self, sign: Self) -> Self {
+        self.copysign(sign)
+    }
+
+    fn ln_1pe(self) -> f64 {
+        if self > 15. {
+            self
+        } else {
+            self.exp().ln_1p()
+        }
+    }
+
+    fn sigmoid(self) -> f64 {
+        if self < -40. {
+            0.
+        } else if self > 40. {
+            1.
+        } else {
+            1. / (1. + f64::exp(-self))
+        }
+    }
+
+    fn rand() -> f64 {
+        let mut rng = rand::thread_rng();
+        rng.gen()
+    }
+
+    fn two() -> Self {
+        2f64
+    }
+
+    fn half() -> Self {
+        0.5f64
+    }
+
+    fn to_f32_bits(self) -> u32 {
+        self.to_bits() as u32
+    }
+}
+
+impl FloatNumber for f32 {
+    fn copysign(self, sign: Self) -> Self {
+        self.copysign(sign)
+    }
+
+    fn ln_1pe(self) -> f32 {
+        if self > 15. {
+            self
+        } else {
+            self.exp().ln_1p()
+        }
+    }
+
+    fn sigmoid(self) -> f32 {
+        if self < -40. {
+            0.
+        } else if self > 40. {
+            1.
+        } else {
+            1. / (1. + f32::exp(-self))
+        }
+    }
+
+    fn rand() -> f32 {
+        let mut rng = rand::thread_rng();
+        rng.gen()
+    }
+
+    fn two() -> Self {
+        2f32
+    }
+
+    fn half() -> Self {
+        0.5f32
+    }
+
+    fn to_f32_bits(self) -> u32 {
+        self.to_bits()
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn sigmoid() {
+        assert_eq!(1.0.sigmoid(), 0.7310585786300049);
+        assert_eq!(41.0.sigmoid(), 1.);
+        assert_eq!((-41.0).sigmoid(), 0.);
+    }
+}