https://github.com/antoinecarme/pyaf

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44a1b65 Future Warning regarding DateTime_Functions - series.dt.weekofyear #153 30 December 2020, 22:55:39 UTC
3c8eac7 Future Warning regarding DateTime_Functions - series.dt.weekofyear #153 Fix 30 December 2020, 22:11:09 UTC
d4a7bef Update .travis.yml 28 December 2020, 22:54:00 UTC
6b652e9 Merge pull request #148 from antoinecarme/missing_data Missing data 30 July 2020, 23:37:30 UTC
c8601eb Add Missing Data Imputation Methods #146 Corrected a typo (impoutation based on the mean) Updated logs 30 July 2020, 08:13:32 UTC
12939da Added some logs 30 July 2020, 08:02:39 UTC
65490a1 Updated these logs 30 July 2020, 08:02:01 UTC
b46b70d Split some very time consuming tests 29 July 2020, 20:21:00 UTC
5bdcec4 Split some very time consuming tests 29 July 2020, 20:20:39 UTC
d19e582 Split some very time consuming tests 29 July 2020, 20:19:51 UTC
ea79f95 Add Missing Data Imputation Methods #146 Added these new logs 29 July 2020, 17:46:53 UTC
c52986d Updated these logs 29 July 2020, 17:46:14 UTC
4d1323a Hierarchical models now use one Forecast Engine (parallelization improvement) 29 July 2020, 16:56:08 UTC
ec3a149 Add Missing Data Imputation Methods #146 Updated a Makefile 29 July 2020, 15:57:37 UTC
f3200a4 Add Missing Data Imputation Methods #146 Added more signal imputation methods 29 July 2020, 15:54:39 UTC
66d8dd8 Add Missing Data Imputation Methods #146 Added more signal imputation methods 29 July 2020, 15:53:37 UTC
9882f2f Corrected standardPlots() Detected by travis-ci 29 July 2020, 09:49:53 UTC
f080540 Add Missing Data Imputation Methods #146 Updated a Makefile 29 July 2020, 09:30:45 UTC
1e583f3 Add Missing Data Imputation Methods #146 Adde some automated tests 29 July 2020, 09:27:53 UTC
dad5915 New release 2.0.1 29 July 2020, 07:40:28 UTC
44f2174 Merge pull request #147 from antoinecarme/parallelization_improvement Parallelization improvement 29 July 2020, 07:33:30 UTC
8bd4998 Updated these scripts PyAF interpolates signals by default 28 July 2020, 23:49:11 UTC
9e54e79 Corrected this dataset 28 July 2020, 23:48:42 UTC
99e16b1 Corrected a log message 28 July 2020, 23:48:15 UTC
7a1ec96 Add Missing Data Imputation Methods #146 First imputation methods (used in temporal hierarchies) 28 July 2020, 23:47:48 UTC
73df9dc Add Missing Data Imputation Methods #146 First imputation methods (used in temporal hierarchies) 28 July 2020, 23:47:18 UTC
bea9a19 Add Missing Data Imputation Methods #146 First imputation methods (used in temporal hierarchies) 28 July 2020, 23:45:54 UTC
be3d4ed Add Missing Data Imputation Methods #146 Added cMissingDataOptions 28 July 2020, 23:45:16 UTC
a4c35d5 Corrected time columns in forecasts (time hierarchy) 26 July 2020, 16:25:22 UTC
f6a728d Added more tests for horizon customization for multi-signals 26 July 2020, 15:49:41 UTC
ae58967 Corrected forecasts with custom horizons 26 July 2020, 15:40:22 UTC
5cdb383 Updated this test 26 July 2020, 15:00:53 UTC
fb9f958 Refactered json export 26 July 2020, 14:59:57 UTC
2a25998 More Parallelization Efforts #145 Allow using multiple signals in the same engine (multiple signals sharing the same CPUs) Allow custom settings for each signal 26 July 2020, 14:59:08 UTC
f7b5810 More Parallelization Efforts #145 Use one engine to train all nodes of a hierarchy (point 2). 26 July 2020, 14:58:10 UTC
ba9f5bd More Parallelization Efforts #145 Allow using multiple signals in the same engine (multiple signals sharing the same CPUs) Added some tests 26 July 2020, 12:22:00 UTC
ac4efd6 Parallalization improvements Allow using multiple signals in the same engine Training parallelization Forecasting parallelization 26 July 2020, 04:19:42 UTC
9946bb2 Parallelization improvement : use more cpus when training in cross-validsation mode Now we use one process to handle each (split , transform) combination 25 July 2020, 21:40:05 UTC
2797850 Removed some dead code 25 July 2020, 20:34:26 UTC
f745910 Update README.md 23 July 2020, 17:43:27 UTC
391fc4b Merge pull request #141 from antoinecarme/2.0-Fixes Adding last minute fixes 14 July 2020, 13:01:07 UTC
a20a6a5 Adding last minute fixes 14 July 2020, 13:00:25 UTC
f3da3ff Add temporal hierarchical forecasting #127 Updated Makefile 08 June 2020, 00:38:17 UTC
36c8256 Add temporal hierarchical forecasting #127 Added new logs 08 June 2020, 00:37:50 UTC
eb1bbc0 Add temporal hierarchical forecasting #127 Added some tests for three new error messages 08 June 2020, 00:37:19 UTC
fe93752 Add temporal hierarchical forecasting #127 Added three error messages 08 June 2020, 00:36:36 UTC
4463487 Merge pull request #139 from antoinecarme/HourOfWeek Updated Changelog.md 06 June 2020, 20:43:15 UTC
510499c Updated Changelog.md 05 June 2020, 23:39:55 UTC
d16bc7c Merge pull request #138 from antoinecarme/HourOfWeek Hour of week 05 June 2020, 14:14:12 UTC
67f4f3f Updated these logs 05 June 2020, 13:37:17 UTC
92dd41c Less blabla on cycle analysis 05 June 2020, 12:58:06 UTC
f832203 Updated these logs 05 June 2020, 12:57:34 UTC
4841897 +np.random.seed(seed=1960) 05 June 2020, 12:57:19 UTC
c7179c4 Less blabla on cycle analysis 05 June 2020, 12:56:26 UTC
18c8a31 Updated these logs 05 June 2020, 11:46:17 UTC
c31ada8 Stabilize the order of nodes in hierarchical structures 05 June 2020, 11:08:57 UTC
921cdfb Switch to markdown for changelog 05 June 2020, 10:04:42 UTC
90ef222 Updated these logs 05 June 2020, 10:01:59 UTC
3962328 Swithc to version 2.0 05 June 2020, 09:58:01 UTC
a1358f6 Switch to version 2.0 05 June 2020, 09:57:46 UTC
d36d956 Added a changelog starting from 2.0 05 June 2020, 09:57:28 UTC
619d609 Updated, regenerated and validated these docs 05 June 2020, 09:22:01 UTC
b88e9b8 Updated these logs 03 June 2020, 00:43:38 UTC
3ebbdbf Analyze Business Seasonals (WeekOfMonth and derivatives) #137 Avoid WeekOfMonth approximation (increasing ordinal values should be guaranteed) 02 June 2020, 23:59:49 UTC
0b3101e Corrected a log message 02 June 2020, 19:25:59 UTC
99a3fc2 Added thse new logs 02 June 2020, 01:05:14 UTC
d64d724 Updated these logs 02 June 2020, 01:04:35 UTC
a27bd87 Corrected last bad commit 02 June 2020, 00:05:06 UTC
16f907b Updated Makefile 01 June 2020, 23:25:03 UTC
fcbbea1 Add PyAF Options in the JSON output #136 Hierarchical case 01 June 2020, 22:43:29 UTC
9d95606 Allow Using Target Median Encoding for Cycles and Seasonals #132 Robustified cycles analysis 01 June 2020, 22:10:49 UTC
1d2036c Add PyAF Options in the JSON output #136 Print Signal Transformation Details in the logs #133 Print Trend Details in the logs #134 01 June 2020, 20:26:45 UTC
b7a07e8 Print Signal Transformation Details in the logs #133 01 June 2020, 20:26:08 UTC
b3f49d0 Print Trend Details in the logs #134 01 June 2020, 20:25:45 UTC
7397dd4 Add PyAF Options in the JSON output #136 01 June 2020, 20:25:11 UTC
f33bdb4 Analyze Business Seasonals (WeekOfMonth and derivatives) #137 Added 'Seasonal_WeekOfMonth' and 'Seasonal_DayOfNthWeekOfMonth', 01 June 2020, 11:33:48 UTC
79d7961 Analyze Business Seasonals (WeekOfMonth and derivatives) #137 Added 'Seasonal_WeekOfMonth' and 'Seasonal_DayOfNthWeekOfMonth', 01 June 2020, 11:33:04 UTC
93293ad Analyze Business Seasonals (WeekOfMonth and derivatives) #137 Added some tests 01 June 2020, 11:31:23 UTC
8411b35 Print Cycle and Seasonal Details in the logs #135 01 June 2020, 09:45:40 UTC
aa29917 Allow Using Target Median Encoding for Cycles and Seasonals #132 01 June 2020, 09:42:34 UTC
6df10c2 Allow Using Target Median Encoding for Cycles and Seasonals #132 01 June 2020, 09:42:04 UTC
bfb0f59 Analyze Business Seasonals (HourOfWeek and derivatives) #131 First working implementation. Added some business hours related seasonals 01 June 2020, 00:27:21 UTC
c39b7f0 Analyze Business Seasonals (HourOfWeek and derivatives) #131 Added some methods to check what is an acceptable value for a criterion (MAPE < 1.0) Used when filtering redundant seasonals 01 June 2020, 00:24:42 UTC
08bc698 Analyze Business Seasonals (HourOfWeek and derivatives) #131 + 'Seasonal_HourOfWeek' , + 'Seasonal_TwoHourOfWeek' , + 'Seasonal_ThreeHourOfWeek' , + 'Seasonal_FourHourOfWeek' , + 'Seasonal_SixHourOfWeek' , + 'Seasonal_EightHourOfWeek' , + 'Seasonal_TwelveHourOfWeek' , 01 June 2020, 00:24:08 UTC
5e40858 Analyze Business Seasonals (HourOfWeek and derivatives) #131 Added custom date parts 01 June 2020, 00:23:05 UTC
2684632 Analyze Business Seasonals (HourOfWeek and derivatives) #131 Updated this test 01 June 2020, 00:22:17 UTC
d1a8482 Analyze Business Seasonals (HourOfWeek and derivatives) #131 Added two more tests 01 June 2020, 00:21:25 UTC
f913a1c Analyze Business seasonals (HourOfWeek and derivatives) #131 Added a test with week-end seasonal data 31 May 2020, 20:16:16 UTC
28453e4 Update README.md 18 May 2020, 14:21:09 UTC
31438b4 Updated web service models 07 May 2020, 14:49:30 UTC
0f109c0 Merge pull request #130 from antoinecarme/Temporal_Hierarchy Temporal hierarchy 07 May 2020, 14:12:52 UTC
842040c More detailed logging for hierarchical forecast methods Updated these docs 06 May 2020, 22:18:57 UTC
c30fc52 More detailed logging for hierarchical forecast methods Updated these logs 06 May 2020, 21:57:32 UTC
2630acd Updated these scripts 06 May 2020, 21:57:05 UTC
c96f49e More detailed logging for hierarchical forecast methods 06 May 2020, 21:35:19 UTC
f27e5c6 More detailed logging for hierarchical forecast methods 06 May 2020, 20:57:47 UTC
a4197c8 More detailed logging for hierarchical forecast methods 06 May 2020, 20:57:40 UTC
79ca652 More detailed logging for hierarchical forecast methods 06 May 2020, 20:57:00 UTC
17f0468 Improved logging 06 May 2020, 20:56:31 UTC
78e72c0 Improved logging performance figures Added cPerf.to_dict() 06 May 2020, 20:55:43 UTC
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