https://github.com/antoinecarme/pyaf

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Revision Author Date Message Commit Date
cf5d2ad prepare 4.0-rc1 release. 11 May 2022, 11:59:50 UTC
aeec0c1 Update TODO.md 09 May 2022, 11:55:58 UTC
aa073f0 Update TODO.md 09 May 2022, 11:53:26 UTC
bf4b8c6 Updated this file 09 May 2022, 11:40:24 UTC
aba4220 Renamed this file 09 May 2022, 11:25:20 UTC
9f252c4 Renamed this file 09 May 2022, 11:24:25 UTC
12b0a76 Update TODO 09 May 2022, 11:21:57 UTC
22b2c18 Document the Algorithmic Details of PyAF #35. Added more detail about signal transformation (min-max scaling). 09 May 2022, 09:56:01 UTC
c282cdb Document the Algorithmic Details of PyAF #35. Added more detail about seasonal components and AR feature selection. 09 May 2022, 09:17:25 UTC
0d44c09 Document the Algorithmic Details of PyAF #35. Added more detail about seasonal components and AR feature selection. 09 May 2022, 09:04:13 UTC
a2b3240 Document the Algorithmic Details of PyAF #35. Added more detail about BoxCox Transformation, MovingMedian and MovingAverage Trends 09 May 2022, 08:04:09 UTC
bcb880b Document the Algorithmic Details of PyAF #35. Added some notes about PyAF explainability and forecast outputs. 05 May 2022, 13:10:40 UTC
2e7c5c2 Document the Algorithmic Details of PyAF #35. Added some notes about PyAF explainability and forecast outputs. 05 May 2022, 13:00:29 UTC
0755445 Document the Algorithmic Details of PyAF #35. Added some notes about PyAF reproducibility. 04 May 2022, 16:43:41 UTC
5f586e1 Added a missing MASE reference 02 May 2022, 08:44:24 UTC
2537dd2 Document the Algorithmic Details of PyAF #35. Updated this document (WIP) 02 May 2022, 08:43:31 UTC
632a64e Document the Algorithmic Details of PyAF #35. Updated this document (WIP) 02 May 2022, 08:29:47 UTC
a2961e0 Updated these logs 28 April 2022, 20:09:40 UTC
a6e18d0 Made these tests lighter. slow mode is too heavy. 28 April 2022, 19:46:36 UTC
dff19ee Updated these logs 28 April 2022, 12:05:32 UTC
83190bb Document the Algorithmic Details of PyAF #35. Updated this document (WIP) 28 April 2022, 11:00:08 UTC
4e05000 Document the Algorithmic Details of PyAF #35. Updated this document (WIP) 28 April 2022, 10:47:11 UTC
7753725 Document the Algorithmic Details of PyAF #35. Updated this document (WIP) 28 April 2022, 10:38:04 UTC
9fe1b49 Document the Algorithmic Details of PyAF #35. Updated this document (WIP) 28 April 2022, 10:21:45 UTC
b614bfe Use more jobs in circleci 28 April 2022, 09:47:25 UTC
defe798 Investigate PyTorch-based LSTM and MLP models #199. Attempt to speedup pytorch. switch to float32 28 April 2022, 08:23:08 UTC
967785c Removed some unnnecessary warning 27 April 2022, 23:11:55 UTC
9ac512e Updated build tests. 27 April 2022, 23:11:30 UTC
ded8960 Less blabla. Updated these logs. 27 April 2022, 23:07:54 UTC
4754a90 Reduce Blabla. Display at most 10 skipped models in debug mode. 27 April 2022, 22:09:44 UTC
7bbea33 Reduce Blabla. Display 10 best models perfs only in debug mode. 27 April 2022, 22:09:11 UTC
750cd4c Updated circle-ci 27 April 2022, 19:46:08 UTC
8477e55 Less Blabla. Avoid broadcasting. 27 April 2022, 19:03:52 UTC
5e89c71 Release Process : Profiling and Warning Hunts #195. Attempt to avoid a warning in pearsonr computations 27 April 2022, 19:03:07 UTC
254f40e Improved perfs display in debug mode. Use json format 27 April 2022, 19:01:54 UTC
59e8c79 Investigate PyTorch-based LSTM and MLP models #199. Updated circle-ci 27 April 2022, 17:04:20 UTC
f534f19 Investigate PyTorch-based LSTM and MLP models #199. Parallelized some jobs 27 April 2022, 17:00:16 UTC
5def266 Investigate PyTorch-based LSTM and MLP models #199. Keep tensorflow away from testsgit push 27 April 2022, 15:57:46 UTC
7526487 Investigate PyTorch-based LSTM and MLP models #199. Added package dependencies. 27 April 2022, 15:04:51 UTC
81df748 Investigate PyTorch-based LSTM and MLP models #199. Added package dependencies. 27 April 2022, 15:02:38 UTC
2c5fc3f Rounding effects (4 for perfs , 6 for model weights). Updatd these logs 26 April 2022, 17:21:38 UTC
ebeeab7 More rounding (4 for perfs , 6 for model weights). 26 April 2022, 16:33:04 UTC
9b442d6 Rounding effects (4 for perfs , 6 for model weights). Updatd these logs 26 April 2022, 16:32:40 UTC
27a3ed0 Rounding effects (4 for perfs , 6 for model weights). Updatd these logs 25 April 2022, 17:04:24 UTC
b896826 Store test logs as circle-ci artifacts 25 April 2022, 16:44:34 UTC
2847add Store test logs as circle-ci artifacts 25 April 2022, 16:07:07 UTC
18f0293 Store test logs as circle-ci artifacts 25 April 2022, 16:06:00 UTC
902cf6d Store test logs as circle-ci artifacts 25 April 2022, 16:04:26 UTC
c922829 Investigate PyTorch-based LSTM and MLP models #199. Enforce reproducibility of pytorch and keras models. Added more reporting about model architectures. 25 April 2022, 14:49:44 UTC
c745b53 Added a benchmark of keras and pytorch on a slow pyaf model with 45 threads. 24 April 2022, 18:14:29 UTC
9f7caf5 Added a workaround for an issue with pytorch multiprocessing. 22 April 2022, 19:28:32 UTC
a4e255f Removed an old comment 22 April 2022, 18:10:15 UTC
17cb2eb Round model data to 6 digits. 22 April 2022, 15:44:57 UTC
4b54362 Round performance criteria to 4 digits. 22 April 2022, 15:44:35 UTC
f4dd9d9 Use pytlint. Remove unnecessary imports. 22 April 2022, 14:43:42 UTC
da2f519 Investigate PyTorch-based LSTM and MLP models #199. Added EarlyStopping for PyTorch and Keras. Updatd models complexity. 21 April 2022, 20:51:53 UTC
b6b0e07 Investigate PyTorch-based LSTM and MLP models #199. Less blabla 21 April 2022, 19:54:27 UTC
a4c3ebf Investigate PyTorch-based LSTM and MLP models #199. Avoid importing pytorch and other external modules when the underlying models are not activated. 21 April 2022, 18:44:26 UTC
c877999 Investigate PyTorch-based LSTM and MLP models #199. Corrected dropout layer. Less blabla 21 April 2022, 18:43:16 UTC
b54fc4c Investigate PyTorch-based LSTM and MLP models #199. Improved alignment between keras and pytorch implementations. Similar options. A lot of cleanup. 21 April 2022, 15:50:10 UTC
320b290 Investigate PyTorch-based LSTM and MLP models #199. Updated keras models (WIP). 19 April 2022, 18:07:53 UTC
8aee5c3 Investigate PyTorch-based LSTM and MLP models #199. Updated this script. 19 April 2022, 18:07:18 UTC
144bdc2 Investigate PyTorch-based LSTM and MLP models #199. Updated tests Makefile. 19 April 2022, 17:10:52 UTC
7dc3e38 Investigate PyTorch-based LSTM and MLP models #199. Pytorch impact on model generation. 19 April 2022, 17:07:07 UTC
2d8810a Investigate PyTorch-based LSTM and MLP models #199. Pytorch impact on model options. 19 April 2022, 17:06:00 UTC
c914849 Investigate PyTorch-based LSTM and MLP models #199. Added first models using pytorch. 19 April 2022, 17:05:24 UTC
4698440 Investigate PyTorch-based LSTM and MLP models #199. Added some tests. 19 April 2022, 17:04:34 UTC
6c9a97b Merge pull request #200 from antoinecarme/Exogenous_Variables_Scale_issue_198 Exogenous variables scale issue 198 19 April 2022, 15:47:50 UTC
5353e0c Updated these logs. 17 April 2022, 15:28:41 UTC
09efc13 Make the Modeling Scale when the Number of Exogenous Variables Increases #198. Added an exog preselection system. WIP. 17 April 2022, 00:22:32 UTC
1ed046a Make the Modeling Scale when the Number of Exogenous Variables Increases #198. Some refactoring. 17 April 2022, 00:20:57 UTC
4a71893 Make the Modeling Scale when the Number of Exogenous Variables Increases #198. Improved time series generation with large number of exog vars. 17 April 2022, 00:20:08 UTC
dcb7c2e Make the Modeling Scale when the Number of Exogenous Variables Increases #198. Improved time series generation with large number of exog vars. 17 April 2022, 00:19:35 UTC
ab11a6f Avoid a warning and an unnecessary import on exit. 16 April 2022, 23:45:31 UTC
fbb4c4d Release Process : Profiling and Warning Hunts #195. Avoid a warning on similar column names 16 April 2022, 11:55:35 UTC
386daa5 Release Process : Profiling and Warning Hunts #195. Avoid a warning on similar column names when merging forecast frames in hierarchical models. 16 April 2022, 01:50:27 UTC
c785c6f Release Process : Profiling and Warning Hunts #195. Avoid a warning on similar column names when merging forecast frames in hierarchical models. 16 April 2022, 01:05:29 UTC
e7a6360 Release Process : Profiling and Warning Hunts #195. Avoid a warning on similar column names when merging forecast frames in hierarchical models. 16 April 2022, 00:16:23 UTC
6625537 Release Process : Review Existing Docs #196. Checked and Refreshed all notebooks. 15 April 2022, 19:40:53 UTC
4399136 Update README.md 15 April 2022, 18:55:59 UTC
0ebdf7e Crash when training using example code #156. Adapted demo script. 15 April 2022, 18:49:03 UTC
22bfb32 Crash when training using example code #156. Adapted demo script. 15 April 2022, 18:48:57 UTC
e209e56 Refactored used module version methods. For debugging purposes. 15 April 2022, 18:47:38 UTC
e43ab06 Refactored used module version methods. For debugging purposes. 15 April 2022, 18:47:34 UTC
f7ecbc8 Corrected handling constant signals transfromations. 15 April 2022, 05:00:47 UTC
7fc7646 Attempt to avoid Ciricle-CI timeouts. Long lasting tests will fail. Again. Again. 15 April 2022, 04:00:57 UTC
4d27b88 Attempt to avoid Ciricle-CI timeouts. Long lasting tests will fail. Again. 15 April 2022, 03:46:36 UTC
a411f69 Attempt to avoid Ciricle-CI timeouts. Long lasting tests will fail. 15 April 2022, 02:46:30 UTC
7912ddb Merge branch 'LSTMX_MLPX' 15 April 2022, 01:58:17 UTC
d36cf67 Exogenous data are not used in MLP and LSTM-based models #197. Avoid CROSTONX. Added these logs 15 April 2022, 00:22:26 UTC
62d0469 Exogenous data are not used in MLP and LSTM-based models #197. Avoid CROSTONX. Updated these logs 15 April 2022, 00:20:42 UTC
18d1be1 Exogenous data are not used in MLP and LSTM-based models #197. Avoid CROSTONX. 14 April 2022, 23:40:03 UTC
b318890 Exogenous data are not used in MLP and LSTM-based models #197. Updated these logs. 14 April 2022, 21:02:37 UTC
46881b6 Exogenous data are not used in MLP and LSTM-based models #197. Added LSTMX and MLPX models. 14 April 2022, 21:02:12 UTC
a88756f Exogenous data are not used in MLP and LSTM-based models #197. LSTMX and MLPX models have more inputs, fixed. 14 April 2022, 19:52:47 UTC
713b561 Exogenous data are not used in MLP and LSTM-based models #197. Added new options for LSTMX and MLPX models. Some refactoring 14 April 2022, 19:51:52 UTC
27e7694 Exogenous data are not used in MLP and LSTM-based models #197. Added new options for LSTMX and MLPX models. 14 April 2022, 19:51:22 UTC
0d4a6d7 Exogenous data are not used in MLP and LSTM-based models #197. Added some tests. 14 April 2022, 19:49:50 UTC
5ef8bde Release Process : Profiling and Warning Hunts #195. Removed an unnecessary step. Handle some extreme cases. 09 April 2022, 18:50:45 UTC
ded8a84 Release Process : Profiling and Warning Hunts #195. Handle some extreme cases. 09 April 2022, 18:49:54 UTC
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