|
1
|
|
|
<?php |
|
2
|
|
|
namespace MachineLearning\Domain\Model; |
|
3
|
|
|
|
|
4
|
|
|
use MachineLearning\Application\Algorithm\AlgorithmInterface; |
|
5
|
|
|
use MachineLearning\Application\Normalization\NormalizationInterface; |
|
6
|
|
|
use MachineLearning\Domain\Hypothesis\HypothesisInterface; |
|
7
|
|
|
|
|
8
|
|
|
class Training |
|
9
|
|
|
{ |
|
10
|
|
|
/** |
|
11
|
|
|
* @var array |
|
12
|
|
|
*/ |
|
13
|
|
|
private $data; |
|
14
|
|
|
|
|
15
|
|
|
/** |
|
16
|
|
|
* @var ValueInterface |
|
17
|
|
|
*/ |
|
18
|
|
|
private $algorithmCoefficient; |
|
19
|
|
|
|
|
20
|
|
|
/** |
|
21
|
|
|
* @var AlgorithmInterface |
|
22
|
|
|
*/ |
|
23
|
|
|
private $algorithm; |
|
24
|
|
|
|
|
25
|
|
|
/** |
|
26
|
|
|
* @var ValueInterface |
|
27
|
|
|
*/ |
|
28
|
|
|
private $normalizationCoefficient; |
|
29
|
|
|
|
|
30
|
|
|
/** |
|
31
|
|
|
* @var NormalizationInterface |
|
32
|
|
|
*/ |
|
33
|
|
|
private $normalization; |
|
34
|
|
|
|
|
35
|
|
|
/** |
|
36
|
|
|
* @var HypothesisInterface |
|
37
|
|
|
*/ |
|
38
|
|
|
private $hypothesis; |
|
39
|
|
|
|
|
40
|
|
|
/** |
|
41
|
|
|
* Training constructor. |
|
42
|
|
|
* @param array $data |
|
43
|
|
|
* @param ValueInterface $algorithmCoefficient |
|
44
|
|
|
* @param AlgorithmInterface $algorithm |
|
45
|
|
|
* @param ValueInterface $normalizationCoefficient |
|
46
|
|
|
* @param NormalizationInterface $normalization |
|
47
|
|
|
* @param HypothesisInterface $hypothesis |
|
48
|
|
|
*/ |
|
49
|
|
|
public function __construct( |
|
50
|
|
|
array $data, |
|
51
|
|
|
AlgorithmInterface $algorithm, |
|
52
|
|
|
ValueInterface $algorithmCoefficient, |
|
53
|
|
|
NormalizationInterface $normalization, |
|
54
|
|
|
ValueInterface $normalizationCoefficient, |
|
55
|
|
|
HypothesisInterface $hypothesis |
|
56
|
|
|
) { |
|
57
|
|
|
$this->data = $data; |
|
58
|
|
|
$this->algorithmCoefficient = $algorithmCoefficient; |
|
59
|
|
|
$this->algorithm = $algorithm; |
|
60
|
|
|
$this->normalizationCoefficient = $normalizationCoefficient; |
|
61
|
|
|
$this->normalization = $normalization; |
|
62
|
|
|
$this->hypothesis = $hypothesis; |
|
63
|
|
|
} |
|
64
|
|
|
|
|
65
|
|
|
/** |
|
66
|
|
|
* @return array |
|
67
|
|
|
*/ |
|
68
|
|
|
public function getData() |
|
69
|
|
|
{ |
|
70
|
|
|
return $this->data; |
|
71
|
|
|
} |
|
72
|
|
|
|
|
73
|
|
|
/** |
|
74
|
|
|
* @return ValueInterface |
|
75
|
|
|
*/ |
|
76
|
|
|
public function getAlgorithmCoefficient() |
|
77
|
|
|
{ |
|
78
|
|
|
return $this->algorithmCoefficient; |
|
79
|
|
|
} |
|
80
|
|
|
|
|
81
|
|
|
/** |
|
82
|
|
|
* @return AlgorithmInterface |
|
83
|
|
|
*/ |
|
84
|
|
|
public function getAlgorithm() |
|
85
|
|
|
{ |
|
86
|
|
|
return $this->algorithm; |
|
87
|
|
|
} |
|
88
|
|
|
|
|
89
|
|
|
/** |
|
90
|
|
|
* @return ValueInterface |
|
91
|
|
|
*/ |
|
92
|
|
|
public function getNormalizationCoefficient() |
|
93
|
|
|
{ |
|
94
|
|
|
return $this->normalizationCoefficient; |
|
95
|
|
|
} |
|
96
|
|
|
|
|
97
|
|
|
/** |
|
98
|
|
|
* @return NormalizationInterface |
|
99
|
|
|
*/ |
|
100
|
|
|
public function getNormalization() |
|
101
|
|
|
{ |
|
102
|
|
|
return $this->normalization; |
|
103
|
|
|
} |
|
104
|
|
|
|
|
105
|
|
|
/** |
|
106
|
|
|
* @return HypothesisInterface |
|
107
|
|
|
*/ |
|
108
|
|
|
public function getHypothesis() |
|
109
|
|
|
{ |
|
110
|
|
|
return $this->hypothesis; |
|
111
|
|
|
} |
|
112
|
|
|
|
|
113
|
|
|
/** |
|
114
|
|
|
* @param ValueInterface |
|
115
|
|
|
* @return ValueInterface |
|
116
|
|
|
*/ |
|
117
|
|
|
public function predict(ValueInterface $value) |
|
118
|
|
|
{ |
|
119
|
|
|
$normalizedValue = $this->normalization->normalizeValue($value, $this->normalizationCoefficient); |
|
120
|
|
|
return $this->hypothesis->calculate($this->algorithmCoefficient, $normalizedValue); |
|
121
|
|
|
} |
|
122
|
|
|
|
|
123
|
|
|
} |
|
124
|
|
|
|
zeopix /
MachineLearning
