https://github.com/antoinecarme/pyaf

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Revision Author Date Message Commit Date
0da96e4 Corrected some debugging mode logs 16 October 2018, 10:17:27 UTC
c777f88 Double check exogenous data implementation #106 Added a test in slow mode (with all debuging options). Cross-validation activated 16 October 2018, 10:16:07 UTC
d386005 Double check exogenous data implementation #106 Added a XGBX (xgboost on lags) model. working 16 October 2018, 09:38:19 UTC
219ad02 Double check exogenous data implementation #106 Corrected SVRX models 16 October 2018, 09:36:05 UTC
bf1411d Double check exogenous data implementation #106 Adapted the test to use SVRX (not working) 16 October 2018, 09:30:25 UTC
e3c2b70 Double check exogenous data implementation #106 More detailed script. check the forecasts and the plots 16 October 2018, 09:27:35 UTC
4701d09 Double check exogenous data implementation #106 Correcetd an issue when the date column is a float 16 October 2018, 09:18:14 UTC
f3c0545 Double check exogenous data implementation #106 Added failing script 16 October 2018, 09:15:15 UTC
abc3cff Pickle tests Check that reloaded models are usable. they should produce the same forecasts and have the same plots 10 October 2018, 18:36:47 UTC
4839c43 Set gamma parameter explicitly in SVR Updated these logs 06 October 2018, 17:12:29 UTC
04e9537 Set gamma parameter explicitly in SVR 04 October 2018, 20:43:37 UTC
91b3e86 Added some tests for failing benchmarks 04 October 2018, 19:33:15 UTC
c3bb2f4 Robustify pearson computation (small variances) 04 October 2018, 19:31:39 UTC
42e8350 Don't allow running more than 100 processes in a single multiprocessing pool 04 October 2018, 19:30:49 UTC
b1a0f31 Added a script to run FPP2 benchmarks Run PyAF on all time series 03 October 2018, 15:40:21 UTC
6149bf7 Added FPP2 time series sources 03 October 2018, 15:40:21 UTC
8002388 Update .travis.yml 28 September 2018, 09:11:32 UTC
7e446d0 Update README.md 28 September 2018, 07:32:43 UTC
264106f Merge pull request #104 from antoinecarme/ts_cross_val Add the possibility to use cross validation when training PyAF models #105 27 September 2018, 11:22:05 UTC
6e7bacd Remove slow mode tests in travis-ci build tests 27 September 2018, 10:38:42 UTC
b3aeb06 Added new log file references 27 September 2018, 09:33:04 UTC
a484d30 Updated these log files 27 September 2018, 09:32:04 UTC
0528a28 Updated Makefile to include cross validation tests 27 September 2018, 07:53:03 UTC
bf86757 Updated Makefile to include cross validatino tests 27 September 2018, 07:52:39 UTC
bf248b9 Add the possibility to use cross validation when training PyAF models #105 Added a jupyter notebook with air passengers case 27 September 2018, 07:39:09 UTC
c401915 Add the possibility to use cross validation when training PyAF models #105 Added a jupyter notebook with ozone case 27 September 2018, 07:38:36 UTC
5349be4 Added some tests 27 September 2018, 07:32:04 UTC
02d0722 Enable cross validation in slow mode. 27 September 2018, 07:31:19 UTC
fcf90a4 Updated log references 26 September 2018, 08:48:04 UTC
47e90e5 Add the possibility to use cross validation when training PyAF models #105 Added two tests for cross validation. 26 September 2018, 07:30:39 UTC
22c30b9 Add the possibility to use cross validation when training PyAF models #105 Added separate cSignalDecompositionTrainer and cSignalDecompositionTrainer_CrossValidation 26 September 2018, 07:29:18 UTC
0a587d5 Add the possibility to use cross validation when training PyAF models #105 The Test dataset is optional 26 September 2018, 07:28:22 UTC
2fc58a9 Add the possibility to use cross validation when training PyAF models #105 The etst dataset is optional. 26 September 2018, 07:27:51 UTC
625a562 Add the possibility to use cross validation when training PyAF models #105 Option. Cross validation control. 26 September 2018, 07:27:12 UTC
462e39c Corrected a typo 25 September 2018, 07:15:21 UTC
573d23b Investigate cross-validation methods for time series #53 Use generic formula for selecting models 24 September 2018, 17:33:56 UTC
b0f4777 Investigate cross-validation methods for time series #53 Prototyping test 24 September 2018, 17:13:04 UTC
2f40257 Investigate cross-validation methods for time series #53 Use generic formula for selecting models 24 September 2018, 17:12:44 UTC
c2b0014 Investigate cross-validation methods for time series #53 Use generic formula for selecting models 24 September 2018, 17:12:23 UTC
a39d84a Investigate cross-validation methods for time series #53 Use generic formula for selecting models 24 September 2018, 17:12:07 UTC
7243cfc Investigate cross-validation methods for time series #53 Use generic formula for selecting models 24 September 2018, 17:11:50 UTC
b9ee314 Investigate cross-validation methods for time series #53 Use generic formula for selecting models 24 September 2018, 17:10:56 UTC
6dba326 Investigate cross-validation methods for time series #53 Add the possibility to customize the dataset splitting 24 September 2018, 17:10:15 UTC
edca20f Investigate cross-validation methods for time series #53 Add the possibility to customize the dataset splitting 24 September 2018, 17:09:33 UTC
b8d8900 Updated log references 24 September 2018, 12:39:37 UTC
87f1375 Investigate cross-validation methods for time series #53 Adapt the existing code to use time series cross validation (WIP). 24 September 2018, 11:40:18 UTC
dc034f9 Investigate cross-validation methods for time series #53 Adapt the existing code to use time series cross validation (WIP). 24 September 2018, 11:39:00 UTC
362c968 Merge pull request #102 from antoinecarme/pyaf_xgboost Add XGBoost based models #98 18 September 2018, 10:59:53 UTC
fb91bc3 Add XGBoost based models #98 Add XGBX models. Update Model Complexity. Added some reference logs 18 September 2018, 09:41:32 UTC
792a95a Merge pull request #101 from antoinecarme/pyaf_xgboost Pyaf xgboost 18 September 2018, 08:29:14 UTC
9508a03 Add XGBoost based models #98 Add XGBX models. Update Model Complexity. Updated reference logs 18 September 2018, 07:51:22 UTC
cdecfe8 Add XGBoost based models #98 Add XGBX models. Update Model Complexity. 17 September 2018, 17:06:56 UTC
4e5ec9a Add XGBoost based models #98 Add XGBX models 17 September 2018, 17:06:35 UTC
75895c4 Add XGBoost based models #98 Add XGBX models 17 September 2018, 17:05:43 UTC
3df30ac Add XGBoost based models #98 Updated Makefile 17 September 2018, 09:19:20 UTC
b039d6f Add XGBoost based models #98 Added some tests for xgboost models with exogenous data 17 September 2018, 09:17:12 UTC
00b546b Merge pull request #100 from antoinecarme/pyaf_xgboost Pyaf xgboost 17 September 2018, 06:38:06 UTC
7fd6c32 Add XGBoost based models #98 Added a missing ref log file 14 September 2018, 16:25:53 UTC
63cb9d9 Removed a comment 14 September 2018, 15:32:45 UTC
97c95a9 Add XGBoost based models #98 Added the possibility to customize XGBRegressors 14 September 2018, 15:31:45 UTC
b05d6c3 Add XGBoost based models #98 Updated Makefile 14 September 2018, 15:31:26 UTC
61afb40 Add XGBoost based models #98 Added a test with custom XGBoostRegressor options 14 September 2018, 15:30:22 UTC
772cb2f Merge pull request #99 from antoinecarme/pyaf_xgboost Pyaf xgboost 13 September 2018, 07:32:50 UTC
3cb3c5e Add XGBoost based models #98 Updated refernece logs 11 September 2018, 16:20:19 UTC
e9d5c59 Updated Makefile 11 September 2018, 15:36:41 UTC
f1165a5 Add XGBoost based models #98 Added a package dependency 11 September 2018, 09:27:04 UTC
d051fa0 Add XGBoost based models #98 Update travis-ci 11 September 2018, 09:13:35 UTC
1a2f5d9 Add XGBoost based models #98 Updated Makefile 11 September 2018, 09:08:01 UTC
36957a0 Add XGBoost based models #98 Sample model in a jupyter notebook 11 September 2018, 09:04:51 UTC
917d53c Add XGBoost based models #98 11 September 2018, 09:03:55 UTC
d93b1c1 Add XGBoost based models #98 Added cXGBoost_Model 11 September 2018, 09:03:06 UTC
671f187 Add XGBoost based models #98 11 September 2018, 09:02:24 UTC
ee5c3fa Add XGBoost based models #98 Basic tests 11 September 2018, 09:00:15 UTC
21d0e52 Update README.md 01 August 2018, 11:05:40 UTC
8b59ef4 Updated these references 19 July 2018, 15:15:38 UTC
b78ec35 Warning Hunt : Matplotlib wanings in travis-ci reports #94 Remove warnings in notebooks when sitching the matplotlib backend Correcetd the case of travis-ci headless server (no $DISPLAY env var defined) 19 July 2018, 14:22:48 UTC
768f1d9 Warning Hunt : Matplotlib wanings in travis-ci reports #94 Remove warnings in notebooks when sitching the matplotlib backend 19 July 2018, 14:09:30 UTC
5186c92 Warning Hunt : Matplotlib wanings in travis-ci reports #94 Remove warnings in notebooks when sitching the matplotlib backend 19 July 2018, 14:08:34 UTC
02f1f3f Avoid overflow in scipy.stats.pearsonr 14 July 2018, 08:02:39 UTC
447cb81 Updated some modeling choices that drive performance. 13 July 2018, 10:32:47 UTC
0a04383 Update .travis.yml 09 July 2018, 17:17:53 UTC
3b0ce31 Update .travis.yml 09 July 2018, 17:11:08 UTC
266b13a Added more notebook tests 09 July 2018, 16:20:43 UTC
6af36db Test that 'pip install' works 09 July 2018, 15:30:03 UTC
3e9ad18 Test that jupyter notebooks execute properly. 09 July 2018, 14:34:31 UTC
37697c3 Added some missing reference logs. 03 July 2018, 16:03:36 UTC
d5b929f Warning Hunt : Matplotlib wanings in travis-ci reports #94 Updated refrence logs (A lot of warnings have disappeared) 02 July 2018, 22:43:14 UTC
87fbd61 avoid travis-ci timeouts 02 July 2018, 21:53:24 UTC
2f15f48 Analysis script for some scipy warnings 02 July 2018, 20:50:48 UTC
f3d804e Updated Makefile 02 July 2018, 20:41:43 UTC
f438bce Warning Hunt : Matplotlib wanings in travis-ci reports #94 get rid of matplotlib warnings 02 July 2018, 20:27:54 UTC
25195a6 Warning Hunt : Matplotlib wanings in travis-ci reports #94 Added a notebook 02 July 2018, 20:26:52 UTC
217f69b Warning Hunt : Matplotlib wanings in travis-ci reports #94 analysis script 02 July 2018, 20:20:37 UTC
ad2264b Removed a warning about categorical types. 28 June 2018, 10:28:38 UTC
00ac005 REmoved a warning about categorical types 27 June 2018, 15:14:12 UTC
ba631dc Added a missing log file 27 June 2018, 14:14:32 UTC
4379a51 Updated these log files (source : travis-ci) 27 June 2018, 14:07:27 UTC
672f4f6 Updated this script 27 June 2018, 10:40:09 UTC
1a3077c Merge pull request #96 from antoinecarme/pandas_warning_issue_93 Get rid of DateOffset string differences 27 June 2018, 09:48:21 UTC
ee1df92 Use curldu.mp (WIP) 27 June 2018, 09:12:48 UTC
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