radiate-gp 1.2.17

Extensions for radiate. Genetic Programming implementations for graphs (neural networks) and trees.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53

pub mod collections;
pub mod ops;
pub mod regression;

pub use collections::*;
pub use ops::{Op, OperationMutator, activation_ops, all_ops, math_ops};
pub use regression::{Accuracy, AccuracyResult, DataSet, Loss, Regression};

#[cfg(feature = "serde")]
use serde::{Deserialize, Serialize};
use std::fmt::Display;
use std::ops::Deref;

/// Arity is a way to describe how many inputs an operation expects.
/// It can be zero, a specific number, or any number.
#[derive(Debug, Clone, PartialEq, Eq, Hash, Copy)]
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
pub enum Arity {
    Zero,
    Exact(usize),
    Any,
}

impl From<usize> for Arity {
    fn from(value: usize) -> Self {
        match value {
            0 => Arity::Zero,
            n => Arity::Exact(n),
        }
    }
}

impl Deref for Arity {
    type Target = usize;

    fn deref(&self) -> &Self::Target {
        match self {
            Arity::Zero => &0,
            Arity::Exact(n) => n,
            Arity::Any => &0,
        }
    }
}

impl Display for Arity {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        match self {
            Arity::Zero => write!(f, "{:<5}", "Zero"),
            Arity::Exact(n) => write!(f, "{:<5}", n),
            Arity::Any => write!(f, "{:<5}", "Any"),
        }
    }
}