This repository has been archived by the owner on Aug 23, 2024. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 327
/
polynomial_regression_series.go
177 lines (149 loc) · 4.36 KB
/
polynomial_regression_series.go
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
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
package chart
import (
"fmt"
"math"
"github.com/wcharczuk/go-chart/v2/matrix"
)
// Interface Assertions.
var (
_ Series = (*PolynomialRegressionSeries)(nil)
_ FirstValuesProvider = (*PolynomialRegressionSeries)(nil)
_ LastValuesProvider = (*PolynomialRegressionSeries)(nil)
)
// PolynomialRegressionSeries implements a polynomial regression over a given
// inner series.
type PolynomialRegressionSeries struct {
Name string
Style Style
YAxis YAxisType
Limit int
Offset int
Degree int
InnerSeries ValuesProvider
coeffs []float64
}
// GetName returns the name of the time series.
func (prs PolynomialRegressionSeries) GetName() string {
return prs.Name
}
// GetStyle returns the line style.
func (prs PolynomialRegressionSeries) GetStyle() Style {
return prs.Style
}
// GetYAxis returns which YAxis the series draws on.
func (prs PolynomialRegressionSeries) GetYAxis() YAxisType {
return prs.YAxis
}
// Len returns the number of elements in the series.
func (prs PolynomialRegressionSeries) Len() int {
return MinInt(prs.GetLimit(), prs.InnerSeries.Len()-prs.GetOffset())
}
// GetLimit returns the window size.
func (prs PolynomialRegressionSeries) GetLimit() int {
if prs.Limit == 0 {
return prs.InnerSeries.Len()
}
return prs.Limit
}
// GetEndIndex returns the effective limit end.
func (prs PolynomialRegressionSeries) GetEndIndex() int {
windowEnd := prs.GetOffset() + prs.GetLimit()
innerSeriesLastIndex := prs.InnerSeries.Len() - 1
return MinInt(windowEnd, innerSeriesLastIndex)
}
// GetOffset returns the data offset.
func (prs PolynomialRegressionSeries) GetOffset() int {
if prs.Offset == 0 {
return 0
}
return prs.Offset
}
// Validate validates the series.
func (prs *PolynomialRegressionSeries) Validate() error {
if prs.InnerSeries == nil {
return fmt.Errorf("linear regression series requires InnerSeries to be set")
}
endIndex := prs.GetEndIndex()
if endIndex >= prs.InnerSeries.Len() {
return fmt.Errorf("invalid window; inner series has length %d but end index is %d", prs.InnerSeries.Len(), endIndex)
}
return nil
}
// GetValues returns the series value for a given index.
func (prs *PolynomialRegressionSeries) GetValues(index int) (x, y float64) {
if prs.InnerSeries == nil || prs.InnerSeries.Len() == 0 {
return
}
if prs.coeffs == nil {
coeffs, err := prs.computeCoefficients()
if err != nil {
panic(err)
}
prs.coeffs = coeffs
}
offset := prs.GetOffset()
effectiveIndex := MinInt(index+offset, prs.InnerSeries.Len())
x, y = prs.InnerSeries.GetValues(effectiveIndex)
y = prs.apply(x)
return
}
// GetFirstValues computes the first poly regression value.
func (prs *PolynomialRegressionSeries) GetFirstValues() (x, y float64) {
if prs.InnerSeries == nil || prs.InnerSeries.Len() == 0 {
return
}
if prs.coeffs == nil {
coeffs, err := prs.computeCoefficients()
if err != nil {
panic(err)
}
prs.coeffs = coeffs
}
x, y = prs.InnerSeries.GetValues(0)
y = prs.apply(x)
return
}
// GetLastValues computes the last poly regression value.
func (prs *PolynomialRegressionSeries) GetLastValues() (x, y float64) {
if prs.InnerSeries == nil || prs.InnerSeries.Len() == 0 {
return
}
if prs.coeffs == nil {
coeffs, err := prs.computeCoefficients()
if err != nil {
panic(err)
}
prs.coeffs = coeffs
}
endIndex := prs.GetEndIndex()
x, y = prs.InnerSeries.GetValues(endIndex)
y = prs.apply(x)
return
}
func (prs *PolynomialRegressionSeries) apply(v float64) (out float64) {
for index, coeff := range prs.coeffs {
out = out + (coeff * math.Pow(v, float64(index)))
}
return
}
func (prs *PolynomialRegressionSeries) computeCoefficients() ([]float64, error) {
xvalues, yvalues := prs.values()
return matrix.Poly(xvalues, yvalues, prs.Degree)
}
func (prs *PolynomialRegressionSeries) values() (xvalues, yvalues []float64) {
startIndex := prs.GetOffset()
endIndex := prs.GetEndIndex()
xvalues = make([]float64, endIndex-startIndex)
yvalues = make([]float64, endIndex-startIndex)
for index := startIndex; index < endIndex; index++ {
x, y := prs.InnerSeries.GetValues(index)
xvalues[index-startIndex] = x
yvalues[index-startIndex] = y
}
return
}
// Render renders the series.
func (prs *PolynomialRegressionSeries) Render(r Renderer, canvasBox Box, xrange, yrange Range, defaults Style) {
style := prs.Style.InheritFrom(defaults)
Draw.LineSeries(r, canvasBox, xrange, yrange, style, prs)
}