Error during evaluation recipe using Prophet time series forecasting model
Im trying to evaluate the same dataset i used for training a Prophet time series forecasting model. However, if i choose to use "Refit model", this error occurs:
** Im using prophet==1.1.7, holidays==0.80, python 3.9; DSS Instance 14.1.1
Error in python process: <class 'RuntimeError'>: Error during optimization! Command '/opt/dataiku/code-env/lib64/python3.9/site-packages/prophet/stan_model/prophet_model.bin random seed=41900 data file=/tmp/tmpcl2r2irm/yuxuy2l4.json init=/tmp/tmpcl2r2irm/_i0qqjcl.json output file=/tmp/tmpcl2r2irm/prophet_modelp9djmge5/prophet_model-20250923062955.csv method=optimize algorithm=newton iter=10000' failed: console log output: method = optimize optimize algorithm = newton newton jacobian = 0 (Default) iter = 10000 save_iterations = 0 (Default) id = 1 (Default) data file = /tmp/tmpcl2r2irm/yuxuy2l4.json init = /tmp/tmpcl2r2irm/_i0qqjcl.json random seed = 41900 output file = /tmp/tmpcl2r2irm/prophet_modelp9djmge5/prophet_model-20250923062955.csv diagnostic_file = (Default) refresh = 100 (Default) sig_figs = -1 (Default) profile_file = profile.csv (Default) num_threads = 1 (Default) Initial log joint probability = -2.17562 Iteration 1. Log joint probability = 3.82473. Improved by 6.00036. Iteration 2. Log joint probability = 6.00341. Improved by 2.17868. Iteration 3. Log joint probability = 7.43077. Improved by 1.42736. Iteration 4. Log joint probability = 8.90186. Improved by 1.47109. Iteration 5. Log joint probability = 9.3755. Improved by 0.473642. Iteration 6. Log joint probability = 11.3102. Improved by 1.93473. Iteration 7. Log joint probability = 12.5654. Improved by 1.25518. Iteration 8. Log joint probability = 14.2992. Improved by 1.73377. Iteration 9. Log joint probability = 15.3039. Improved by 1.00475. Iteration 10. Log joint probability = 16.348. Improved by 1.04402. Iteration 11. Log joint probability = 17.4847. Improved by 1.13677. Iteration 12. Log joint probability = 18.5797. Improved by 1.09493. Iteration 13. Log joint probability = 19.6178. Improved by 1.0381. Iteration 14. Log joint probability = 20.8685. Improved by 1.25076. Iteration 15. Log joint probability = 21.5319. Improved by 0.663429. Iteration 16. Log joint probability = 23.2821. Improved by 1.75019. Iteration 17. Log joint probability = 24.7044. Improved by 1.42226. Iteration 18. Log joint probability = 25.635. Improved by 0.930573. Iteration 19. Log joint probability = 27.5862. Improved by 1.95128. Iteration 20. Log joint probability = 29.0194. Improved by 1.43317. Iteration 21. Log joint probability = 30.3726. Improved by 1.35324. Iteration 22. Log joint probability = 31.8777. Improved by 1.50507. Iteration 23. Log joint probability = 33.0239. Improved by 1.14619. Iteration 24. Log joint probability = 33.215. Improved by 0.191094. Iteration 25. Log joint probability = 38.7698. Improved by 5.55485. Iteration 26. Log joint probability = 40.0676. Improved by 1.29775. Iteration 27. Log joint probability = 42.4198. Improved by 2.35224. Iteration 28. Log joint probability = 43.7737. Improved by 1.35384. Iteration 29. Log joint probability = 44.8425. Improved by 1.06885. Iteration 30. Log joint probability = 44.8427. Improved by 0.000159384. Iteration 31. Log joint probability = 48.4376. Improved by 3.59487. Iteration 32. Log joint probability = 48.5451. Improved by 0.107582. Iteration 33. Log joint probability = 51.0151. Improved by 2.46993. Iteration 34. Log joint probability = 52.0774. Improved by 1.06237. Iteration 35. Log joint probability = 53.4831. Improved by 1.40569. Iteration 36. Log joint probability = 54.7081. Improved by 1.22494. Iteration 37. Log joint probability = 57.5601. Improved by 2.85197. Iteration 38. Log joint probability = 58.8327. Improved by 1.2726. Iteration 39. Log joint probability = 58.856. Improved by 0.0233423. Iteration 40. Log joint probability = 58.8746. Improved by 0.0186404. Iteration 41. Log joint probability = 60.1307. Improved by 1.25603. Iteration 42. Log joint probability = 60.2557. Improved by 0.124994. Iteration 43. Log joint probability = 60.3741. Improved by 0.118424. Iteration 44. Log joint probability = 60.48. Improved by 0.105951. Iteration 45. Log joint probability = 60.5307. Improved by 0.0506551. Iteration 46. Log joint probability = 61.1339. Improved by 0.603178. Iteration 47. Log joint probability = 61.1459. Improved by 0.0120764. Iteration 48. Log joint probability = 62.1058. Improved by 0.959838. Iteration 49. Log joint probability = 62.3423. Improved by 0.236497. Iteration 50. Log joint probability = 62.3992. Improved by 0.0569097. Iteration 51. Log joint probability = 62.4584. Improved by 0.0591829. Iteration 52. Log joint probability = 62.5121. Improved by 0.0537314. Iteration 53. Log joint probability = 62.5605. Improved by 0.048357. Iteration 54. Log joint probability = 62.6008. Improved by 0.0403871. Iteration 55. Log joint probability = 62.6341. Improved by 0.0332101. Iteration 56. Log joint probability = 62.6635. Improved by 0.0294324. Iteration 57. Log joint probability = 62.7525. Improved by 0.0890477. Iteration 58. Log joint probability = 64.1022. Improved by 1.34963. Iteration 59. Log joint probability = 64.1122. Improved by 0.0100434. Iteration 60. Log joint probability = 64.137. Improved by 0.0248125. Iteration 61. Log joint probability = 64.1427. Improved by 0.00562378. Iteration 62. Log joint probability = 64.1492. Improved by 0.00650665. Iteration 63. Log joint probability = 64.1567. Improved by 0.00749397. Iteration 64. Log joint probability = 64.1804. Improved by 0.0237406. Iteration 65. Log joint probability = 64.1848. Improved by 0.00445466. Iteration 66. Log joint probability = 64.1888. Improved by 0.0039712. Iteration 67. Log joint probability = 64.1917. Improved by 0.00291762. Iteration 68. Log joint probability = 64.1956. Improved by 0.00381649. Iteration 69. Log joint probability = 64.1976. Improved by 0.00202963. Iteration 70. Log joint probability = 64.1988. Improved by 0.00118235. Iteration 71. Log joint probability = 64.1999. Improved by 0.0011329. Iteration 72. Log joint probability = 65.0098. Improved by 0.80986. Iteration 73. Log joint probability = 65.6169. Improved by 0.607098. Iteration 74. Log joint probability = 65.9565. Improved by 0.339666. Iteration 75. Log joint probability = 66.2716. Improved by 0.315097. Iteration 76. Log joint probability = 66.7331. Improved by 0.461459. Iteration 77. Log joint probability = 66.9827. Improved by 0.249658. Iteration 78. Log joint probability = 67.129. Improved by 0.146264. Iteration 79. Log joint probability = 67.2652. Improved by 0.136183. Iteration 80. Log joint probability = 67.3385. Improved by 0.0733668. Iteration 81. Log joint probability = 67.4067. Improved by 0.068172. Iteration 82. Log joint probability = 67.4699. Improved by 0.0631507. Iteration 83. Log joint probability = 68.139. Improved by 0.669155. Iteration 84. Log joint probability = 68.1447. Improved by 0.0056331. Iteration 85. Log joint probability = 68.1447. Improved by 1.29128e-05. Iteration 86. Log joint probability = 68.1447. Improved by 4.36855e-05. Iteration 87. Log joint probability = 68.1473. Improved by 0.00254475. Iteration 88. Log joint probability = 783.482. Improved by 715.335. Exception: normal_id_glm_lpdf: Matrix of independent variables is inf, but must be finite! (in 'prophet.stan', line 137, column 2 to line 142, column 4)
Please help me if you have any idea to fix this problem.
Operating system used: Windows