radiate-gp 1.3.1

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
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135

use super::{Graph, GraphChromosome, GraphNode};
use crate::{Factory, NodeStore};
use radiate_core::{Codec, Genotype};

#[derive(Clone)]
pub struct GraphCodec<T> {
    store: NodeStore<T>,
    template: GraphChromosome<T>,
}

impl<T: Clone + Default> GraphCodec<T> {
    pub fn new(
        template: impl IntoIterator<Item = GraphNode<T>>,
        store: impl Into<NodeStore<T>>,
    ) -> Self {
        GraphCodec {
            store: store.into(),
            template: template.into_iter().collect(),
        }
    }

    pub fn directed(input_size: usize, output_size: usize, store: impl Into<NodeStore<T>>) -> Self {
        let new_store = store.into();

        GraphCodec {
            store: new_store.clone(),
            template: Graph::directed(input_size, output_size, &new_store)
                .into_iter()
                .collect(),
        }
    }

    pub fn recurrent(
        input_size: usize,
        output_size: usize,
        store: impl Into<NodeStore<T>>,
    ) -> Self {
        let new_store = store.into();

        GraphCodec {
            store: new_store.clone(),
            template: Graph::recurrent(input_size, output_size, &new_store)
                .into_iter()
                .collect(),
        }
    }

    pub fn weighted_directed(
        input_size: usize,
        output_size: usize,
        store: impl Into<NodeStore<T>>,
    ) -> Self {
        let new_store = store.into();

        GraphCodec {
            store: new_store.clone(),
            template: Graph::weighted_directed(input_size, output_size, &new_store)
                .into_iter()
                .collect(),
        }
    }

    pub fn weighted_recurrent(
        input_size: usize,
        output_size: usize,
        store: impl Into<NodeStore<T>>,
    ) -> Self {
        let new_store = store.into();

        GraphCodec {
            store: new_store.clone(),
            template: Graph::weighted_recurrent(input_size, output_size, &new_store)
                .into_iter()
                .collect(),
        }
    }

    pub fn lstm(input_size: usize, output_size: usize, store: impl Into<NodeStore<T>>) -> Self {
        let new_store = store.into();

        GraphCodec {
            store: new_store.clone(),
            template: Graph::lstm(input_size, output_size, &new_store)
                .into_iter()
                .collect(),
        }
    }

    pub fn gru(input_size: usize, output_size: usize, store: impl Into<NodeStore<T>>) -> Self {
        let new_store = store.into();

        GraphCodec {
            store: new_store.clone(),
            template: Graph::gru(input_size, output_size, &new_store)
                .into_iter()
                .collect(),
        }
    }

    pub fn mesh(
        input_size: usize,
        output_size: usize,
        rows: usize,
        cols: usize,
        store: impl Into<NodeStore<T>>,
    ) -> Self {
        let new_store = store.into();

        GraphCodec {
            store: new_store.clone(),
            template: Graph::mesh(input_size, output_size, rows, cols, &new_store)
                .into_iter()
                .collect(),
        }
    }

    pub fn with_max_nodes(mut self, max_nodes: usize) -> Self {
        self.template = self.template.with_max_nodes(max_nodes);
        self
    }
}

impl<T> Codec<GraphChromosome<T>, Graph<T>> for GraphCodec<T>
where
    T: Clone + PartialEq + Default,
{
    fn encode(&self) -> Genotype<GraphChromosome<T>> {
        self.template.new_instance(Some(self.store.clone())).into()
    }

    #[inline]
    fn decode(&self, genotype: &Genotype<GraphChromosome<T>>) -> Graph<T> {
        Graph::new(genotype[0].as_ref().to_vec())
    }
}