Dear all,
I got a code for e1071 package in R for SVM regression. I
have used *m$coefs* for extracting the coefficients but I am getting only
72 . How can I extract coefficients of the predictors set? Does it mean
that I will get only 72 as *Number of Support Vectors: 72. *
**
Thanks in advance
Code:
--------------
library(e1071)
> # create data
> x <- seq(0.1, 5, by = 0.05)
> y <- log(x) + rnorm(x, sd = 0.2)
> # estimate model and predict input values
> m <- svm(x, y)
> new <- predict(m, x)
> m
Call:
svm.default(x = x, y = y)
Parameters:
SVM-Type: eps-regression
SVM-Kernel: radial
cost: 1
gamma: 1
epsilon: 0.1
*Number of Support Vectors: 72*
*> m$coefs*
> new
1 2 3 4 5
6 7 8 9 10 11
12
-1.327786564 -1.277059853 -1.221424097 -1.161313628 -1.097200621
-1.029588549 -0.959005127 -0.885994883 -0.811111473 -0.734909901
-0.657938792 -0.580732849
13 14 15 16 17
18 19 20 21 22
23 24
-0.503805655 -0.427642943 -0.352696474 -0.279378612 -0.208057720
-0.139054438 -0.072638906 -0.009028968 0.051610615 0.109167970
0.163582945 0.214845022
25 26 27 28 29
30 31 32 33 34
35 36
0.262990384 0.308098215 0.350286330 0.389706259 0.426537887
0.460983809 0.493263495 0.523607428 0.552251329 0.579430594
0.605375062 0.630304214
37 38 39 40 41
42 43 44 45 46
47 48
0.654422894 0.677917633 0.700953619 0.723672382 0.746190188
0.768597174 0.790957190 0.813308346 0.835664193 0.858015504
0.880332573 0.902567958
49 50 51 52 53
54 55 56 57 58
59 60
0.924659570 0.946534037 0.968110220 0.989302798 1.010025830
1.030196181 1.049736754 1.068579418 1.086667584 1.103958361
1.120424239 1.136054277
61 62 63 64 65
66 67 68 69 70
71 72
1.150854762 1.164849331 1.178078576 1.190599126 1.202482259
1.213812069 1.224683251 1.235198555 1.245465988 1.255595825
1.265697515 1.275876563
73 74 75 76 77
78 79 80 81 82
83 84
1.286231447 1.296850678 1.307810045 1.319170135 1.330974176
1.343246256 1.355989966 1.369187496 1.382799201 1.396763660
1.410998202 1.425399923
85 86 87 88 89
90 91 92 93 94
95 96
1.439847127 1.454201198 1.468308834 1.482004603 1.495113765
1.507455297 1.518845050 1.529098984 1.538036397 1.545483098
1.551274451 1.555258224
97 98 99
1.557297215 1.557271572 1.555080800
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