Files
smartcore/src/math/num.rs
Tim Toebrock b6f585e60f Implement a generic read_csv method (#147)
* feat: Add interface to build `Matrix` from rows.
* feat: Add option to derive `RealNumber` from string.
To construct a `Matrix` from csv, and therefore from string, I need to be able to deserialize a generic `RealNumber` from string.
* feat: Implement `Matrix::read_csv`.
2022-09-19 10:38:01 +01:00

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//! # Real 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 real numbers, .
//! This module defines real number and some useful functions that are used in [Linear Algebra](../../linalg/index.html) module.
use num_traits::{Float, FromPrimitive};
use rand::prelude::*;
use std::fmt::{Debug, Display};
use std::iter::{Product, Sum};
use std::ops::{AddAssign, DivAssign, MulAssign, SubAssign};
use std::str::FromStr;
/// Defines real 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 RealNumber:
Float
+ FromPrimitive
+ Debug
+ Display
+ Copy
+ Sum
+ Product
+ AddAssign
+ SubAssign
+ MulAssign
+ DivAssign
+ FromStr
{
/// 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 u32
fn to_f32_bits(self) -> u32;
/// Raw transmutation to u64
fn to_f64_bits(self) -> u64;
}
impl RealNumber 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
}
fn to_f64_bits(self) -> u64 {
self.to_bits()
}
}
impl RealNumber 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()
}
fn to_f64_bits(self) -> u64 {
self.to_bits() as u64
}
}
#[cfg(test)]
mod tests {
use super::*;
#[cfg_attr(target_arch = "wasm32", wasm_bindgen_test::wasm_bindgen_test)]
#[test]
fn sigmoid() {
assert_eq!(1.0.sigmoid(), 0.7310585786300049);
assert_eq!(41.0.sigmoid(), 1.);
assert_eq!((-41.0).sigmoid(), 0.);
}
#[test]
fn f32_from_string() {
assert_eq!(f32::from_str("1.111111").unwrap(), 1.111111)
}
#[test]
fn f64_from_string() {
assert_eq!(f64::from_str("1.111111111").unwrap(), 1.111111111)
}
}