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
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myInverseBoxCox= InverseBoxCox(lambda=[0.2], shift=[0])
myInverseBoxCox input dimension = 1
myInverseBoxCox output dimension = 1
input time series =
[ t X0 ]
0 : [ 0 0.259753 ]
1 : [ 0.1 0.76561 ]
2 : [ 0.2 -0.729447 ]
3 : [ 0.3 -0.934994 ]
4 : [ 0.4 -0.305886 ]
5 : [ 0.5 0.938846 ]
6 : [ 0.6 0.841359 ]
7 : [ 0.7 0.0060803 ]
8 : [ 0.8 -0.873588 ]
9 : [ 0.9 -0.414486 ]
10 : [ 1 0.428764 ]
11 : [ 1.1 -0.233276 ]
12 : [ 1.2 -0.252465 ]
13 : [ 1.3 0.474536 ]
14 : [ 1.4 0.767007 ]
15 : [ 1.5 -0.410012 ]
16 : [ 1.6 0.857021 ]
17 : [ 1.7 0.641622 ]
18 : [ 1.8 0.36915 ]
19 : [ 1.9 0.656054 ]
20 : [ 2 -0.280396 ]
21 : [ 2.1 0.909492 ]
22 : [ 2.2 0.177231 ]
23 : [ 2.3 -0.635922 ]
24 : [ 2.4 -0.82843 ]
25 : [ 2.5 0.321455 ]
26 : [ 2.6 -0.579116 ]
27 : [ 2.7 -0.227543 ]
28 : [ 2.8 -0.950881 ]
29 : [ 2.9 -0.162163 ]
30 : [ 3 0.963682 ]
31 : [ 3.1 0.832264 ]
32 : [ 3.2 0.911206 ]
33 : [ 3.3 -0.0540999 ]
34 : [ 3.4 -0.480278 ]
35 : [ 3.5 0.32268 ]
36 : [ 3.6 -0.0204509 ]
37 : [ 3.7 -0.0629513 ]
38 : [ 3.8 -0.777844 ]
39 : [ 3.9 -0.309362 ]
40 : [ 4 0.311954 ]
41 : [ 4.1 0.350177 ]
42 : [ 4.2 0.95796 ]
43 : [ 4.3 0.292669 ]
44 : [ 4.4 -0.871575 ]
45 : [ 4.5 0.546039 ]
46 : [ 4.6 0.988399 ]
47 : [ 4.7 -0.833853 ]
48 : [ 4.8 -0.550266 ]
49 : [ 4.9 -0.394761 ]
50 : [ 5 -0.565578 ]
output time series =
[ t y0 ]
0 : [ 0 1.28818 ]
1 : [ 0.1 2.03881 ]
2 : [ 0.2 0.454538 ]
3 : [ 0.3 0.355186 ]
4 : [ 0.4 0.72932 ]
5 : [ 0.5 2.36407 ]
6 : [ 0.6 2.1763 ]
7 : [ 0.7 1.0061 ]
8 : [ 0.8 0.382836 ]
9 : [ 0.9 0.648769 ]
10 : [ 1 1.50888 ]
11 : [ 1.1 0.787499 ]
12 : [ 1.2 0.771775 ]
13 : [ 1.3 1.57357 ]
14 : [ 1.4 2.04128 ]
15 : [ 1.5 0.65194 ]
16 : [ 1.6 2.20564 ]
17 : [ 1.7 1.82881 ]
18 : [ 1.8 1.42783 ]
19 : [ 1.9 1.85233 ]
20 : [ 2 0.749338 ]
21 : [ 2.1 2.30622 ]
22 : [ 2.2 1.19025 ]
23 : [ 2.3 0.506539 ]
24 : [ 2.4 0.404248 ]
25 : [ 2.5 1.36553 ]
26 : [ 2.6 0.540375 ]
27 : [ 2.7 0.792246 ]
28 : [ 2.8 0.348299 ]
29 : [ 2.9 0.848021 ]
30 : [ 3 2.41392 ]
31 : [ 3.1 2.15941 ]
32 : [ 3.2 2.30957 ]
33 : [ 3.3 0.947058 ]
34 : [ 3.4 0.603544 ]
35 : [ 3.5 1.3671 ]
36 : [ 3.6 0.979716 ]
37 : [ 3.7 0.938614 ]
38 : [ 3.8 0.42936 ]
39 : [ 3.9 0.726624 ]
40 : [ 4 1.35339 ]
41 : [ 4.1 1.40278 ]
42 : [ 4.2 2.40236 ]
43 : [ 4.3 1.329 ]
44 : [ 4.4 0.383771 ]
45 : [ 4.5 1.67905 ]
46 : [ 4.6 2.46436 ]
47 : [ 4.7 0.401627 ]
48 : [ 4.8 0.558239 ]
49 : [ 4.9 0.662843 ]
50 : [ 5 0.5487 ]
gradient= [[ 0.0625 ]]
hessian= sheet #0
[[ 0.1 ]]
myBoxCox = BoxCox(lambda=[0.2], shift=[0])
number of call(s) : 51
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