problem with prediction

[jbensabat]

Hello
I compiled the code with the hard-coded data
when running in prediction mode, I get always the same value after the training set
see below

Could you explain what I am doing wrong ?
thanks
jac

-0.03367 -0.0345466 start of data used for training
-0.05162 -0.0249832
-0.05785 -0.0168138
-0.05829 -0.00986043
-0.05066 -0.00393157
-0.05653 0.00115873
-0.0582 0.00558231
-0.04115 0.00949312
-0.02043 0.0130259
-0.00087 0.0162969
0.00088 0.0194043
-0.00171 0.0224282
0.00243 0.025431
0.01522 0.0284549
0.03385 0.0315202
0.0499 0.03462
0.06215 0.037714
0.06547 0.0407206
0.06494 0.043507
0.06632 0.0458803
0.07205 0.04758
0.07646 0.0482769
0.07481 0.0475827
0.0681 0.0450743
0.06729 0.0403364
0.07286 0.0330197
0.06561 0.0229061
0.04486 0.00996593
0.01604 -0.00561113
-0.00924 -0.023423
-0.03465 -0.0429004
-0.06571 -0.0633815
-0.08933 -0.0841933
-0.11226 -0.104723
-0.13533 -0.124467
-0.15354 -0.14305
-0.15968 -0.160225
-0.15558 -0.17586
-0.16089 -0.189916
-0.16801 -0.202418
-0.17019 -0.213441
-0.18657 -0.223088
-0.22277 -0.231478
-0.25849 -0.238733
-0.28191 -0.244978
-0.30395 -0.250331
-0.33891 -0.254903
-0.3847 -0.258793
-0.41923 -0.262094
-0.44245 -0.264887
-0.47085 -0.267243
-0.49645 -0.269227
-0.50708 -0.270893
-0.50851 -0.272289
-0.50828 -0.273456
-0.49741 -0.27443
-0.47335 -0.275242
-0.44446 -0.275917
-0.41713 -0.276477
-0.39397 -0.276942
-0.3721 -0.277326
-0.36676 -0.277643
-0.38291 -0.277905
-0.39999 -0.278121
-0.402 -0.278298
-0.39673 -0.278444
-0.39756 -0.278563
-0.37981 -0.278661
-0.33821 -0.278741
-0.28911 -0.278807
-0.24067 -0.27886
-0.20484 -0.278903
-0.17076 -0.278939
-0.13566 -0.278968
-0.10128 -0.278991
-0.07876 -0.27901
-0.06811 -0.279025
-0.04824 -0.279037
-0.0439 -0.279047
-0.05795 -0.279055
-0.05512 -0.279062
-0.02227 -0.279067
-0.00201 -0.279071
-0.03144 -0.279074
-0.05106 -0.279077
-0.04371 -0.279079
-0.04993 -0.279081
-0.05487 -0.279082
-0.0418 -0.279083
-0.03407 -0.279084
-0.03778 -0.279085
-0.02296 -0.279085
-0.01722 -0.279085
-0.03764 -0.279086
-0.04542 -0.279086
-0.06444 -0.279086
-0.11293 -0.279086
-0.15835 -0.279086
-0.16665 -0.279087
-0.14545 -0.279087
-0.1273 -0.279087
-0.09936 -0.279087
-0.06023 -0.279087
-0.03317 -0.279087
-0.01905 -0.279087
0.01517 -0.279087
0.05537 -0.279087
0.05926 -0.279087
0.04241 -0.279087
0.00933 -0.279087
0.01444 -0.279087
0.05665 -0.279087
0.05627 -0.279087
0.03955 -0.279087
0.02992 -0.279087
0.04654 -0.279087
0.09101 -0.279087
0.1196 -0.279087
0.1095 -0.279087
0.08591 -0.279087
0.10146 -0.279087
0.09711 -0.279087
0.04806 -0.279087
0.01745 -0.279087
-0.00624 -0.279087
-0.05097 -0.279087
-0.09354 -0.279087
-0.09771 -0.279087
-0.09505 -0.279087
-0.11365 -0.279087
-0.13552 -0.279087
-0.15621 -0.279087
-0.16899 -0.279087
-0.17307 -0.279087
-0.18547 -0.279087
-0.21603 -0.279087
-0.24129 -0.279087
-0.25401 -0.279087
-0.27697 -0.279087
-0.31584 -0.279087
-0.36555 -0.279087
-0.42198 -0.279087
-0.44669 -0.279087
-0.427 -0.279087
-0.4247 -0.279087
-0.43207 -0.279087
-0.42334 -0.279087
-0.41855 -0.279087
-0.39722 -0.279087
-0.35751 -0.279087
-0.34249 -0.279087
-0.36169 -0.279087
-0.36458 -0.279087
-0.35183 -0.279087
-0.35312 -0.279087
-0.35336 -0.279087
-0.34477 -0.279087
-0.31118 -0.279087
-0.2638 -0.279087
-0.23419 -0.279087
-0.21541 -0.279087
-0.18335 -0.279087
-0.13434 -0.279087
-0.07879 -0.279087
-0.01644 -0.279087
0.03472 -0.279087
0.05102 -0.279087
0.03221 -0.279087
0.01661 -0.279087
0.02299 -0.279087
0.01835 -0.279087
0.00895 -0.279087
0.0104 -0.279087
0.00083 -0.279087
-0.02173 -0.279087
-0.03451 -0.279087
-0.04335 -0.279087
-0.06306 -0.279087
-0.07747 -0.279087
-0.07921 -0.279087
-0.08067 -0.279087
-0.0881 -0.279087
-0.10064 -0.279087
-0.11303 -0.279087
-0.11399 -0.279087
-0.11094 -0.279087
-0.12068 -0.279087
-0.1316 -0.279087
-0.13164 -0.279087
-0.1299 -0.279087
-0.1477 -0.279087
-0.19423 -0.279087
-0.24731 -0.279087
-0.2874 -0.279087
-0.31461 -0.279087
-0.34304 -0.279087
-0.3935 -0.279087
-0.45157 -0.279087
-0.49765 -0.279087
-0.5433 -0.279087
-0.57736 -0.279087
-0.58819 -0.279087
-0.58721 -0.279087
-0.5755 -0.279087
-0.55177 -0.279087
-0.52019 -0.279087
-0.4921 -0.279087
-0.47801 -0.279087
-0.47133 -0.279087
-0.45379 -0.279087
-0.42883 -0.279087
-0.41992 -0.279087
-0.43058 -0.279087
-0.45351 -0.279087
-0.48282 -0.279087
-0.50285 -0.279087
-0.50449 -0.279087
-0.49629 -0.279087
-0.49761 -0.279087
-0.51473 -0.279087
-0.52904 -0.279087
-0.5326 -0.279087
-0.52902 -0.279087
-0.53238 -0.279087
-0.55256 -0.279087
-0.57817 -0.279087
-0.60971 -0.279087
-0.64427 -0.279087
-0.68303 -0.279087
-0.72298 -0.279087
-0.76154 -0.279087
-0.80728 -0.279087
-0.83626 -0.279087
-0.83992 -0.279087
-0.83242 -0.279087
-0.82862 -0.279087
-0.82565 -0.279087
-0.80799 -0.279087
-0.78567 -0.279087
-0.75777 -0.279087
-0.71782 -0.279087
-0.67034 -0.279087
-0.63977 -0.279087
-0.63538 -0.279087
-0.63348 -0.279087
-0.62516 -0.279087
-0.613 -0.279087
-0.60485 -0.279087
-0.59716 -0.279087
-0.59254 -0.279087
-0.58835 -0.279087
-0.57021 -0.279087
-0.54061 -0.279087
-0.49884 -0.279087
-0.4491 -0.279087
-0.40085 -0.279087
-0.36362 -0.279087
-0.33658 -0.279087
-0.31449 -0.279087
-0.29045 -0.279087
-0.2611 -0.279087
-0.2247 -0.279087
-0.17177 -0.279087
-0.11554 -0.279087
-0.05367 -0.279087