API tools faq
paste
Advertisement
Aaaaa988

OutPutFavarish

Aaaaa988
Dec 8th, 2020
150
0
Never
Add comment
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 15.97 KB | None | 0 0
raw download clone embed print report
  1. /usr/bin/python3.8 /home/vladimir/PycharmProjects/Lab4Favarish/Main.py
  2. 2020-12-09 08:27:55.203277: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
  3. 2020-12-09 08:27:55.203296: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
  4. [ 1.23247 0. 8.14 0. 0.538 6.142 91.7
  5. 3.9769 4. 307. 21. 396.9 18.72 ] 15.2
  6. [-0.27224633 -0.48361547 -0.43576161 -0.25683275 -0.1652266 -0.1764426
  7. 0.81306188 0.1166983 -0.62624905 -0.59517003 1.14850044 0.44807713
  8. 0.8252202 ]
  9. 2020-12-09 08:27:56.271947: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
  10. 2020-12-09 08:27:56.271965: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
  11. 2020-12-09 08:27:56.271979: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (vladimir-37): /proc/driver/nvidia/version does not exist
  12. 2020-12-09 08:27:56.272137: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX2 FMA
  13. To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
  14. 2020-12-09 08:27:56.300480: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 3393210000 Hz
  15. 2020-12-09 08:27:56.301233: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5aa37e0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
  16. 2020-12-09 08:27:56.301279: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
  17. Epoch 1/100
  18. 11/11 [==============================] - 0s 10ms/step - loss: 576.8145 - mae: 22.1994 - val_loss: 641.4199 - val_mae: 23.5561
  19. Epoch 2/100
  20. 11/11 [==============================] - 0s 2ms/step - loss: 563.5194 - mae: 21.8722 - val_loss: 630.0616 - val_mae: 23.3055
  21. Epoch 3/100
  22. 11/11 [==============================] - 0s 2ms/step - loss: 552.0070 - mae: 21.5808 - val_loss: 617.8162 - val_mae: 23.0309
  23. Epoch 4/100
  24. 11/11 [==============================] - 0s 3ms/step - loss: 539.6599 - mae: 21.2702 - val_loss: 603.6461 - val_mae: 22.7092
  25. Epoch 5/100
  26. 11/11 [==============================] - 0s 2ms/step - loss: 523.3814 - mae: 20.9230 - val_loss: 587.0852 - val_mae: 22.3302
  27. Epoch 6/100
  28. 11/11 [==============================] - 0s 2ms/step - loss: 504.8803 - mae: 20.4231 - val_loss: 567.0438 - val_mae: 21.8640
  29. Epoch 7/100
  30. 11/11 [==============================] - 0s 2ms/step - loss: 484.2834 - mae: 19.9024 - val_loss: 543.3279 - val_mae: 21.2940
  31. Epoch 8/100
  32. 11/11 [==============================] - 0s 2ms/step - loss: 460.0919 - mae: 19.3415 - val_loss: 515.3427 - val_mae: 20.6340
  33. Epoch 9/100
  34. 11/11 [==============================] - 0s 3ms/step - loss: 429.5299 - mae: 18.5452 - val_loss: 482.2537 - val_mae: 19.8361
  35. Epoch 10/100
  36. 11/11 [==============================] - 0s 3ms/step - loss: 391.0705 - mae: 17.4774 - val_loss: 447.2615 - val_mae: 18.9394
  37. Epoch 11/100
  38. 11/11 [==============================] - 0s 2ms/step - loss: 359.7870 - mae: 16.5852 - val_loss: 407.6415 - val_mae: 17.8810
  39. Epoch 12/100
  40. 11/11 [==============================] - 0s 2ms/step - loss: 326.6483 - mae: 15.6726 - val_loss: 365.7087 - val_mae: 16.7069
  41. Epoch 13/100
  42. 11/11 [==============================] - 0s 2ms/step - loss: 285.3968 - mae: 14.3208 - val_loss: 319.0248 - val_mae: 15.3907
  43. Epoch 14/100
  44. 11/11 [==============================] - 0s 2ms/step - loss: 240.1423 - mae: 13.0570 - val_loss: 271.4334 - val_mae: 13.9324
  45. Epoch 15/100
  46. 11/11 [==============================] - 0s 2ms/step - loss: 211.5306 - mae: 12.1574 - val_loss: 227.9761 - val_mae: 12.4525
  47. Epoch 16/100
  48. 11/11 [==============================] - 0s 2ms/step - loss: 174.4718 - mae: 10.9586 - val_loss: 189.2717 - val_mae: 11.0758
  49. Epoch 17/100
  50. 11/11 [==============================] - 0s 2ms/step - loss: 144.5379 - mae: 9.6482 - val_loss: 154.5965 - val_mae: 9.8076
  51. Epoch 18/100
  52. 11/11 [==============================] - 0s 3ms/step - loss: 129.8571 - mae: 9.4435 - val_loss: 127.4837 - val_mae: 8.7955
  53. Epoch 19/100
  54. 11/11 [==============================] - 0s 2ms/step - loss: 102.0622 - mae: 8.0646 - val_loss: 108.7950 - val_mae: 8.1062
  55. Epoch 20/100
  56. 11/11 [==============================] - 0s 2ms/step - loss: 102.8973 - mae: 8.0790 - val_loss: 94.3945 - val_mae: 7.5643
  57. Epoch 21/100
  58. 11/11 [==============================] - 0s 2ms/step - loss: 99.9749 - mae: 7.7646 - val_loss: 82.0209 - val_mae: 7.0236
  59. Epoch 22/100
  60. 11/11 [==============================] - 0s 3ms/step - loss: 86.0444 - mae: 7.1423 - val_loss: 72.6665 - val_mae: 6.5453
  61. Epoch 23/100
  62. 11/11 [==============================] - 0s 2ms/step - loss: 79.3709 - mae: 6.8148 - val_loss: 64.8036 - val_mae: 6.1072
  63. Epoch 24/100
  64. 11/11 [==============================] - 0s 2ms/step - loss: 71.4559 - mae: 6.3705 - val_loss: 57.6596 - val_mae: 5.7163
  65. Epoch 25/100
  66. 11/11 [==============================] - 0s 2ms/step - loss: 72.4916 - mae: 6.1992 - val_loss: 52.0030 - val_mae: 5.3804
  67. Epoch 26/100
  68. 11/11 [==============================] - 0s 2ms/step - loss: 71.3017 - mae: 6.2462 - val_loss: 48.2129 - val_mae: 5.1623
  69. Epoch 27/100
  70. 11/11 [==============================] - 0s 2ms/step - loss: 63.3928 - mae: 5.8350 - val_loss: 45.2233 - val_mae: 5.0121
  71. Epoch 28/100
  72. 11/11 [==============================] - 0s 2ms/step - loss: 52.5788 - mae: 5.4142 - val_loss: 42.3008 - val_mae: 4.8306
  73. Epoch 29/100
  74. 11/11 [==============================] - 0s 3ms/step - loss: 56.0609 - mae: 5.4573 - val_loss: 39.8106 - val_mae: 4.6675
  75. Epoch 30/100
  76. 11/11 [==============================] - 0s 2ms/step - loss: 59.6992 - mae: 5.9062 - val_loss: 37.4998 - val_mae: 4.5090
  77. Epoch 31/100
  78. 11/11 [==============================] - 0s 3ms/step - loss: 56.3936 - mae: 5.7147 - val_loss: 34.9231 - val_mae: 4.3458
  79. Epoch 32/100
  80. 11/11 [==============================] - 0s 2ms/step - loss: 60.2553 - mae: 5.7379 - val_loss: 33.2389 - val_mae: 4.2192
  81. Epoch 33/100
  82. 11/11 [==============================] - 0s 2ms/step - loss: 60.2691 - mae: 5.6960 - val_loss: 32.2640 - val_mae: 4.1523
  83. Epoch 34/100
  84. 11/11 [==============================] - 0s 2ms/step - loss: 51.3757 - mae: 5.2678 - val_loss: 32.2051 - val_mae: 4.1365
  85. Epoch 35/100
  86. 11/11 [==============================] - 0s 2ms/step - loss: 56.7672 - mae: 5.3226 - val_loss: 31.6404 - val_mae: 4.1021
  87. Epoch 36/100
  88. 11/11 [==============================] - 0s 2ms/step - loss: 48.0868 - mae: 5.3319 - val_loss: 29.7254 - val_mae: 3.9968
  89. Epoch 37/100
  90. 11/11 [==============================] - 0s 2ms/step - loss: 48.8782 - mae: 5.3105 - val_loss: 28.8839 - val_mae: 3.9622
  91. Epoch 38/100
  92. 11/11 [==============================] - 0s 2ms/step - loss: 53.7650 - mae: 5.3322 - val_loss: 28.2599 - val_mae: 3.9354
  93. Epoch 39/100
  94. 11/11 [==============================] - 0s 2ms/step - loss: 51.1862 - mae: 5.3991 - val_loss: 27.8721 - val_mae: 3.8960
  95. Epoch 40/100
  96. 11/11 [==============================] - 0s 2ms/step - loss: 54.3165 - mae: 5.4648 - val_loss: 27.1163 - val_mae: 3.8550
  97. Epoch 41/100
  98. 11/11 [==============================] - 0s 2ms/step - loss: 53.5490 - mae: 5.5076 - val_loss: 26.8804 - val_mae: 3.8364
  99. Epoch 42/100
  100. 11/11 [==============================] - 0s 2ms/step - loss: 51.7944 - mae: 5.2776 - val_loss: 26.3077 - val_mae: 3.7998
  101. Epoch 43/100
  102. 11/11 [==============================] - 0s 2ms/step - loss: 53.4757 - mae: 5.5201 - val_loss: 25.5795 - val_mae: 3.7579
  103. Epoch 44/100
  104. 11/11 [==============================] - 0s 2ms/step - loss: 42.2587 - mae: 5.0097 - val_loss: 25.4256 - val_mae: 3.7299
  105. Epoch 45/100
  106. 11/11 [==============================] - 0s 2ms/step - loss: 43.4811 - mae: 4.8368 - val_loss: 25.1915 - val_mae: 3.7172
  107. Epoch 46/100
  108. 11/11 [==============================] - 0s 2ms/step - loss: 41.6909 - mae: 4.9176 - val_loss: 25.9457 - val_mae: 3.7313
  109. Epoch 47/100
  110. 11/11 [==============================] - 0s 2ms/step - loss: 48.3462 - mae: 5.2766 - val_loss: 25.9713 - val_mae: 3.7190
  111. Epoch 48/100
  112. 11/11 [==============================] - 0s 2ms/step - loss: 45.0240 - mae: 4.8330 - val_loss: 25.3599 - val_mae: 3.6899
  113. Epoch 49/100
  114. 11/11 [==============================] - 0s 2ms/step - loss: 57.6347 - mae: 5.4571 - val_loss: 24.3261 - val_mae: 3.6471
  115. Epoch 50/100
  116. 11/11 [==============================] - 0s 2ms/step - loss: 43.8849 - mae: 5.1204 - val_loss: 23.8390 - val_mae: 3.6152
  117. Epoch 51/100
  118. 11/11 [==============================] - 0s 2ms/step - loss: 49.3554 - mae: 5.3719 - val_loss: 24.0915 - val_mae: 3.6126
  119. Epoch 52/100
  120. 11/11 [==============================] - 0s 2ms/step - loss: 45.8415 - mae: 5.0247 - val_loss: 23.5042 - val_mae: 3.5782
  121. Epoch 53/100
  122. 11/11 [==============================] - 0s 2ms/step - loss: 46.3078 - mae: 4.9748 - val_loss: 22.9240 - val_mae: 3.5548
  123. Epoch 54/100
  124. 11/11 [==============================] - 0s 2ms/step - loss: 53.2305 - mae: 5.3425 - val_loss: 22.0383 - val_mae: 3.5051
  125. Epoch 55/100
  126. 11/11 [==============================] - 0s 2ms/step - loss: 52.5778 - mae: 5.3962 - val_loss: 21.7672 - val_mae: 3.4816
  127. Epoch 56/100
  128. 11/11 [==============================] - 0s 2ms/step - loss: 52.2437 - mae: 5.1052 - val_loss: 21.1468 - val_mae: 3.4423
  129. Epoch 57/100
  130. 11/11 [==============================] - 0s 2ms/step - loss: 45.7289 - mae: 4.9726 - val_loss: 21.1030 - val_mae: 3.4359
  131. Epoch 58/100
  132. 11/11 [==============================] - 0s 2ms/step - loss: 39.5403 - mae: 4.8885 - val_loss: 21.7102 - val_mae: 3.4766
  133. Epoch 59/100
  134. 11/11 [==============================] - 0s 2ms/step - loss: 37.2999 - mae: 4.5723 - val_loss: 21.4789 - val_mae: 3.4582
  135. Epoch 60/100
  136. 11/11 [==============================] - 0s 2ms/step - loss: 46.1910 - mae: 5.2122 - val_loss: 21.1240 - val_mae: 3.4219
  137. Epoch 61/100
  138. 11/11 [==============================] - 0s 2ms/step - loss: 40.9039 - mae: 4.7818 - val_loss: 20.4178 - val_mae: 3.3793
  139. Epoch 62/100
  140. 11/11 [==============================] - 0s 2ms/step - loss: 52.8687 - mae: 5.2780 - val_loss: 19.3926 - val_mae: 3.3548
  141. Epoch 63/100
  142. 11/11 [==============================] - 0s 2ms/step - loss: 48.2449 - mae: 5.1098 - val_loss: 18.9752 - val_mae: 3.3829
  143. Epoch 64/100
  144. 11/11 [==============================] - 0s 2ms/step - loss: 37.8453 - mae: 4.8022 - val_loss: 19.1032 - val_mae: 3.3818
  145. Epoch 65/100
  146. 11/11 [==============================] - 0s 3ms/step - loss: 43.5561 - mae: 4.9497 - val_loss: 19.2405 - val_mae: 3.3739
  147. Epoch 66/100
  148. 11/11 [==============================] - 0s 2ms/step - loss: 42.2983 - mae: 4.7631 - val_loss: 19.2956 - val_mae: 3.3571
  149. Epoch 67/100
  150. 11/11 [==============================] - 0s 2ms/step - loss: 45.6628 - mae: 5.0653 - val_loss: 19.4573 - val_mae: 3.3349
  151. Epoch 68/100
  152. 11/11 [==============================] - 0s 2ms/step - loss: 42.5830 - mae: 4.9285 - val_loss: 19.6972 - val_mae: 3.3392
  153. Epoch 69/100
  154. 11/11 [==============================] - 0s 2ms/step - loss: 49.0086 - mae: 5.0308 - val_loss: 19.4687 - val_mae: 3.3548
  155. Epoch 70/100
  156. 11/11 [==============================] - 0s 2ms/step - loss: 44.4467 - mae: 4.9450 - val_loss: 18.9145 - val_mae: 3.3456
  157. Epoch 71/100
  158. 11/11 [==============================] - 0s 2ms/step - loss: 47.1978 - mae: 5.0942 - val_loss: 18.7678 - val_mae: 3.3226
  159. Epoch 72/100
  160. 11/11 [==============================] - 0s 2ms/step - loss: 38.6933 - mae: 4.6912 - val_loss: 18.3785 - val_mae: 3.3442
  161. Epoch 73/100
  162. 11/11 [==============================] - 0s 2ms/step - loss: 42.0594 - mae: 4.7792 - val_loss: 18.2005 - val_mae: 3.3474
  163. Epoch 74/100
  164. 11/11 [==============================] - 0s 2ms/step - loss: 38.6165 - mae: 4.6123 - val_loss: 18.1768 - val_mae: 3.3238
  165. Epoch 75/100
  166. 11/11 [==============================] - 0s 2ms/step - loss: 46.6481 - mae: 5.0438 - val_loss: 18.5303 - val_mae: 3.2968
  167. Epoch 76/100
  168. 11/11 [==============================] - 0s 2ms/step - loss: 42.1162 - mae: 4.8070 - val_loss: 18.0918 - val_mae: 3.2971
  169. Epoch 77/100
  170. 11/11 [==============================] - 0s 2ms/step - loss: 45.1461 - mae: 5.0273 - val_loss: 17.6394 - val_mae: 3.3092
  171. Epoch 78/100
  172. 11/11 [==============================] - 0s 2ms/step - loss: 43.6702 - mae: 4.7935 - val_loss: 17.9443 - val_mae: 3.2686
  173. Epoch 79/100
  174. 11/11 [==============================] - 0s 3ms/step - loss: 44.3730 - mae: 4.8525 - val_loss: 18.1074 - val_mae: 3.2552
  175. Epoch 80/100
  176. 11/11 [==============================] - 0s 2ms/step - loss: 38.8404 - mae: 4.8214 - val_loss: 17.4582 - val_mae: 3.2072
  177. Epoch 81/100
  178. 11/11 [==============================] - 0s 2ms/step - loss: 35.4778 - mae: 4.2712 - val_loss: 16.6305 - val_mae: 3.1722
  179. Epoch 82/100
  180. 11/11 [==============================] - 0s 2ms/step - loss: 40.3779 - mae: 4.6441 - val_loss: 16.3505 - val_mae: 3.1571
  181. Epoch 83/100
  182. 11/11 [==============================] - 0s 2ms/step - loss: 35.3169 - mae: 4.4666 - val_loss: 16.2556 - val_mae: 3.1738
  183. Epoch 84/100
  184. 11/11 [==============================] - 0s 2ms/step - loss: 35.0788 - mae: 4.4772 - val_loss: 16.4577 - val_mae: 3.2075
  185. Epoch 85/100
  186. 11/11 [==============================] - 0s 2ms/step - loss: 41.1912 - mae: 4.4931 - val_loss: 16.8850 - val_mae: 3.2568
  187. Epoch 86/100
  188. 11/11 [==============================] - 0s 3ms/step - loss: 40.0670 - mae: 4.8360 - val_loss: 17.1954 - val_mae: 3.2492
  189. Epoch 87/100
  190. 11/11 [==============================] - 0s 2ms/step - loss: 39.3397 - mae: 4.5578 - val_loss: 16.8293 - val_mae: 3.2490
  191. Epoch 88/100
  192. 11/11 [==============================] - 0s 2ms/step - loss: 40.0756 - mae: 4.6173 - val_loss: 16.1711 - val_mae: 3.2171
  193. Epoch 89/100
  194. 11/11 [==============================] - 0s 2ms/step - loss: 41.2723 - mae: 4.6326 - val_loss: 15.9994 - val_mae: 3.1969
  195. Epoch 90/100
  196. 11/11 [==============================] - 0s 2ms/step - loss: 41.7719 - mae: 4.6763 - val_loss: 15.8476 - val_mae: 3.1615
  197. Epoch 91/100
  198. 11/11 [==============================] - 0s 2ms/step - loss: 38.9935 - mae: 4.6145 - val_loss: 16.0321 - val_mae: 3.1583
  199. Epoch 92/100
  200. 11/11 [==============================] - 0s 3ms/step - loss: 41.0565 - mae: 4.6948 - val_loss: 16.0813 - val_mae: 3.1563
  201. Epoch 93/100
  202. 11/11 [==============================] - 0s 2ms/step - loss: 40.9692 - mae: 4.8904 - val_loss: 16.1480 - val_mae: 3.1871
  203. Epoch 94/100
  204. 11/11 [==============================] - 0s 2ms/step - loss: 37.8654 - mae: 4.6688 - val_loss: 16.3716 - val_mae: 3.2067
  205. Epoch 95/100
  206. 11/11 [==============================] - 0s 2ms/step - loss: 36.5145 - mae: 4.5671 - val_loss: 16.0650 - val_mae: 3.1625
  207. Epoch 96/100
  208. 11/11 [==============================] - 0s 2ms/step - loss: 37.9110 - mae: 4.6390 - val_loss: 15.5759 - val_mae: 3.1075
  209. Epoch 97/100
  210. 11/11 [==============================] - 0s 3ms/step - loss: 37.3476 - mae: 4.4792 - val_loss: 15.3985 - val_mae: 3.0717
  211. Epoch 98/100
  212. 11/11 [==============================] - 0s 2ms/step - loss: 39.3187 - mae: 4.6493 - val_loss: 15.7755 - val_mae: 3.0886
  213. Epoch 99/100
  214. 11/11 [==============================] - 0s 2ms/step - loss: 31.7008 - mae: 4.2392 - val_loss: 15.7887 - val_mae: 3.0876
  215. Epoch 100/100
  216. 11/11 [==============================] - 0s 3ms/step - loss: 43.6499 - mae: 4.8637 - val_loss: 15.8189 - val_mae: 3.0975
  217. 4/4 [==============================] - 0s 359us/step - loss: 27.4786 - mae: 3.7884
  218. Предсказанная цена и фактическая
  219. 8394.10$ vs 7200.00$
  220. 16383.21$ vs 18800.00$
  221. [[ 1.23247 0. 8.14 0. 0.538 6.142 91.7
  222. 3.9769 4. 50. 21. 396.9 18.72 ]]
  223. [[-0.27224633 -0.48361547 -0.43576161 -0.25683275 -0.1652266 -0.1764426
  224. 0.81306188 0.1166983 -0.62624905 -2.14179283 1.14850044 0.44807713
  225. 0.8252202 ]]
  226. Дом в таком районе мог бы стоить = 16468.57$
  227.  
  228. Process finished with exit code 0
  229.  
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement
Public Pastes
Advertisement
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.  OK, I Understand
Not a member of Pastebin yet?
Sign Up, it unlocks many cool features!