Commit Graph

  • 654ddec218 Improvements on benchmarks Petrônio Cândido 2018-04-16 13:42:51 -0300
  • ecfc9db862 PEP 256 documentation Petrônio Cândido 2018-04-14 10:22:02 -0300
  • 67a9d7e324 Merge branch 'master' of https://github.com/petroniocandido/pyFTS Petrônio Cândido 2018-04-13 15:24:43 -0300
  • 3db6e69119 Improvements on benchmarks Petrônio Cândido 2018-04-13 15:23:54 -0300
  • a9da97cca0
    Update README.md Petrônio Cândido de Lima e Silva 2018-04-12 18:43:46 -0300
  • 7d876876e0
    Update README.md Petrônio Cândido de Lima e Silva 2018-04-12 18:24:32 -0300
  • 26a9ab68ff
    Update _config.yml Petrônio Cândido de Lima e Silva 2018-04-12 18:14:39 -0300
  • 9b63d625d4
    Update _config.yml Petrônio Cândido de Lima e Silva 2018-04-12 17:54:25 -0300
  • 086322e320
    Update _config.yml Petrônio Cândido de Lima e Silva 2018-04-12 17:50:31 -0300
  • ff23d874bc Logo and icon Petrônio Cândido 2018-04-12 17:47:54 -0300
  • 3ed39c0198 Set theme jekyll-theme-minimal Petrônio Cândido de Lima e Silva 2018-04-12 17:31:58 -0300
  • 858319aca8 Bugfixes on nonstationary methods Petrônio Cândido 2018-04-11 19:07:31 -0300
  • d980078a8e Bugfixes on nonstationary methods Petrônio Cândido 2018-04-11 15:52:11 -0300
  • 4ba6c16a2f Bugfixes on nonstationary methods Petrônio Cândido 2018-04-11 15:03:21 -0300
  • b65af00526 Bugfixes in pwfts Petrônio Cândido 2018-04-11 14:11:58 -0300
  • f9204b87c9 Bugfixes in pwfts Petrônio Cândido 2018-04-11 01:31:17 -0300
  • 50c2b501b1 Refactoring to centralize the apply_transformations and apply_transformations_inverse inside fts.predict method Petrônio Cândido 2018-04-11 01:12:55 -0300
  • 581f404b18 Improvements and bugfixes on pwfts.forecast_interval and pwfts.point_expected_value Petrônio Cândido 2018-04-11 00:19:05 -0300
  • 24c4fadc08 Bugfixes at pwfts and improvements on benchmarks.plot_* Petrônio Cândido 2018-04-10 12:39:56 -0300
  • 1312d96246 Bugfixes at pwfts.forecast_ahead_distribution Petrônio Cândido 2018-04-09 14:52:25 -0300
  • 326d1b4f40 Merge branch 'master' of https://github.com/petroniocandido/pyFTS Petrônio Cândido 2018-04-09 11:13:24 -0300
  • 1d7801bdbf - Benchmark refactoring to expose a unified and simpler interface (the method sliding_window_benchmarks) - Improvements at FTS.fit and FTS.predict - PWFTS bugfixes and improvements Petrônio Cândido 2018-04-09 11:09:28 -0300
  • 1b13b3aa2f
    Including references on README Petrônio Cândido de Lima e Silva 2018-03-11 10:51:38 -0300
  • ac9b095a91
    Update README.md Petrônio Cândido de Lima e Silva 2018-03-09 13:56:23 -0300
  • 8ac8fec14c Configuring the new tag for pyPI release v4.0 pkg1.2.3 Petrônio Cândido 2018-03-07 12:44:11 -0300
  • a9a07204dc Configuring the new tag for pyPI release Petrônio Cândido 2018-03-06 19:47:14 -0300
  • 11831b9769 Configuring the new tag for pyPI release Petrônio Cândido 2018-03-06 17:33:08 -0300
  • 967d07e5bb Configuring the new tag for pyPI release Petrônio Cândido 2018-03-06 16:08:14 -0300
  • 3297753129 Removing data files from the project Petrônio Cândido 2018-03-06 15:01:55 -0300
  • 8f20f3634a Configuring the new tag for pyPI release Petrônio Cândido 2018-03-05 18:32:23 -0300
  • 0233728fb0 Configuring the new tag for pyPI release Petrônio Cândido 2018-03-05 18:05:52 -0300
  • 3d64c5065e - Bugfixes due to refactorings Petrônio Cândido 2018-03-05 15:07:02 -0300
  • 9718f48b39 - common.Util.distributed_train - Big refactoring to change FTS.sets from list to dict. This refactoring allow to remove references to the fuzzy sets from the FLRG and save memory. - HOFTS and PWFTS train and forecasting simplification by using the method generate_lhs_flrg - Small others bugfixes/improvements Petrônio Cândido 2018-03-03 20:07:50 -0300
  • 00db6a30ad - Compacting datasets with bz2 - Refactoring generate_flrg and train methods - Introducing batches and model saving on fit method Petrônio Cândido 2018-03-02 19:20:21 -0300
  • cbc0974a3b Merge branch 'master' of https://github.com/petroniocandido/pyFTS Petrônio Cândido 2018-03-02 11:37:36 -0300
  • 7a124777f5 Code refactorings and bugfixes Petrônio Cândido 2018-03-02 11:37:09 -0300
  • c730df8051
    Update README.md Petrônio Cândido de Lima e Silva 2018-03-01 23:09:14 -0300
  • 97b1875fc6
    Update README.md Petrônio Cândido de Lima e Silva 2018-03-01 19:32:45 -0300
  • 3186fb96e8 - multivariate notebook Petrônio Cândido 2018-03-01 17:30:39 -0300
  • 5e7c4794e2 - First fully-functional multivariate FTS method (multiavariate extension of Chen's method) Petrônio Cândido 2018-03-01 14:13:17 -0300
  • 0e2ea9927d - Initial infrastructure for multivariate methods Petrônio Cândido 2018-02-28 14:40:03 -0300
  • 1d583e8b0a - Seasonal partitioner Petrônio Cândido 2018-02-28 13:45:55 -0300
  • 7a2dd7e54c Notebooks and method bugfixes and refactoring Petrônio Cândido 2018-02-27 18:30:20 -0300
  • 37862c661d - More data files and artificial data generators Petrônio Cândido 2018-02-27 12:56:05 -0300
  • fc2e118576 -Data folder pkg1.2.2 Petrônio Cândido 2018-02-26 15:57:59 -0300
  • e4838693a6 - Deep refactor on project folders pkg1.2.1 Petrônio Cândido 2018-02-26 13:29:11 -0300
  • 6e4df0ce33 - Deep refactor on function names for Petrônio Cândido 2018-02-26 13:11:29 -0300
  • 09e5415929 bugfixes Petrônio Cândido 2017-11-14 07:36:14 -0200
  • 2b038968f7 BoxCox Transformation Petrônio Cândido 2017-10-25 10:09:28 -0200
  • e9b86d7025 Conditional Variance FTS Petrônio Cândido 2017-10-20 16:04:56 -0200
  • 2ea599fdb8 High Order Nostationary Fuzzy Time Series - HONSFTS Petrônio Cândido 2017-10-17 00:18:12 -0200
  • 6f455f3215 - Improvements and refactorings on HOFTS, IFTS and PWFTS; - Complete version of NSFTS Petrônio Cândido 2017-10-11 22:51:50 -0300
  • ce71dc20cb - Bugfixes caused by FLRG improvements and refactorings on affected classes Petrônio Cândido 2017-10-06 19:36:03 -0300
  • 04b1ffea85 - FLRG improvements and refactorings on affected classes Petrônio Cândido 2017-10-06 15:09:10 -0300
  • a89ec9dd46 - Introducing new superclass FLRG and general refactoring Petrônio Cândido 2017-10-06 14:08:46 -0300
  • a8e3ba4810 - Non Stationary Fuzzy Time Series - NSFTS: stable version Petrônio Cândido 2017-10-06 13:04:33 -0300
  • b3db1a60a3 Non Stationary Fuzzy Time Series - NSFTS Petrônio Cândido 2017-10-05 14:30:57 -0300
  • 80583cc202 - Non Stationary Fuzzy Sets - Refactoring Petrônio Cândido 2017-10-04 23:48:25 -0300
  • c38a3747f0 - Non Stationary Fuzzy Sets Petrônio Cândido 2017-10-04 23:29:57 -0300
  • fa231740a5 Nonstationary Fuzzy Sets Petrônio Cândido 2017-09-29 16:00:51 -0300
  • 71cbb84574 Seasonal models refactoring; Composite fuzzy sets; Seasonal fuzzy set Petrônio Cândido 2017-09-28 10:16:28 -0300
  • a0016a7371 Non Stationary Fuzzy Sets - refactoring Petrônio Cândido 2017-09-27 23:35:32 -0300
  • 921dd5d146 - Non Stationary Fuzzy Sets Petrônio Cândido 2017-09-27 22:26:03 -0300
  • b783f7bb15 - Bugfix at Measures.crps Petrônio Cândido 2017-09-27 15:33:32 -0300
  • cda8ba80d4 - Non Stationary Fuzzy Sets Petrônio Cândido 2017-09-27 14:54:41 -0300
  • 9fb79ea080 PWFTS new m-step-ahead probabilistic forecasting method Petrônio Cândido 2017-09-22 21:08:26 -0300
  • 1ec03d34de PWFTS new one-step-ahead probabilistic and quantile-interval forecasts Petrônio Cândido 2017-09-20 14:31:45 -0300
  • 61b5d89009 PWFTS: improved probabilistic forecasting method Petrônio Cândido 2017-09-14 11:37:50 -0300
  • 0764d249ea Several bugfixes and refactorings Petrônio Cândido 2017-09-08 14:18:02 -0300
  • b672cdf08a - Partition function on FuzzySet Petrônio Cândido 2017-08-17 15:40:35 -0300
  • 7a7ff4f3e3 pkg1.1.1 pkg1.1.1 Petrônio Cândido 2017-07-11 21:44:35 -0300
  • 862382aa50 Several Bugfixes on benchmarks; ProbabilityDistribution on arima and quantreg; Including models.seasonal on setup.py Petrônio Cândido 2017-07-11 21:43:13 -0300
  • 8fea727560 Bugfix at fts.forecastAhead; forecastDistribution with ProbabilityDistribution on benchmarks.arima Petrônio Cândido 2017-07-10 23:37:09 -0300
  • 5503cd26a4 Bugfix: setup.py did not imported the subpackages pkg1.1 Petrônio Cândido 2017-07-10 13:13:48 -0300
  • 5265b2d234 Bugfix: setup.py did not imported the subpackages Petrônio Cândido 2017-07-10 13:11:36 -0300
  • 0249297e3e Global refactoring for python packaging system pkg1.0 Petrônio Cândido de Lima e Silva 2017-07-07 10:54:28 -0300
  • dd54133468 Bugfixes and improvements on ProbabilityDistribution Petrônio Cândido de Lima e Silva 2017-07-06 15:28:08 -0300
  • 011e0ee4ce - Bugfixes and improvements on ProbabilityDistribution and KDE, msfts - Scale Transformation Petrônio Cândido de Lima e Silva 2017-07-05 15:35:22 -0300
  • 962ef89bcf - Optimizations and bugfixes on Multi Seasonal Ensemble - Bugfixes on ProbabilityDistribution - Indexers on Partitioners Petrônio Cândido de Lima e Silva 2017-07-04 16:30:53 -0300
  • 9861189d50 - Optimizations and bugfixes on Multi Seasonal Ensemble - Several Bugfixes - KDE on ProbabilityDistribution Petrônio Cândido de Lima e Silva 2017-07-04 12:18:07 -0300
  • 7e98b34b16 - Refactoring: moving Ensemble methods to subpackage ensemble - Parallel Seasonal Ensemble Petrônio Cândido de Lima e Silva 2017-07-03 18:39:10 -0300
  • 9bfd931e45 - Improvements on probability distributions and KDE - Seasonal Ensemble Petrônio Cândido de Lima e Silva 2017-07-01 19:42:45 -0300
  • ba71e08e76 Methods to rescale and unify several experiments Petrônio Cândido de Lima e Silva 2017-06-17 17:30:24 -0300
  • 9af879e195 - Bugfixes and improvements on benchmarks Petrônio Cândido de Lima e Silva 2017-05-24 00:31:05 -0300
  • 849cd74bff - SeasonalIndexer on sfts Petrônio Cândido de Lima e Silva 2017-05-22 00:44:07 -0300
  • 4cfc2bced4 - SeasonalIndexer on sfts Petrônio Cândido de Lima e Silva 2017-05-21 18:06:16 -0300
  • 8efd7c38d8 - SeasonalIndexer on sfts Petrônio Cândido de Lima e Silva 2017-05-21 18:04:10 -0300
  • d1b18ef5c4 - Bugfixes and improvements on Ensemble FTS and distributed_benchmarks Petrônio Cândido de Lima e Silva 2017-05-20 13:43:39 -0300
  • f533dd249a - Bugfixes and improvements on Ensemble FTS - Improvement on plotting probabilistic forecasts Petrônio Cândido de Lima e Silva 2017-05-18 14:20:12 -0300
  • aa2b5de18f - Ensemble FTS - first complete version Petrônio Cândido de Lima e Silva 2017-05-17 16:58:51 -0300
  • 67358fa000 - Improvementos of interval and distribution m-step ahead forecasts for arima and quantreg Petrônio Cândido de Lima e Silva 2017-05-17 10:45:10 -0300
  • b3e1a70602 - Implementation of interval and distribution m-step ahead forecasts for arima and quantreg Petrônio Cândido de Lima e Silva 2017-05-15 14:06:26 -0300
  • 0d8d6c9240 - Bugfix on interval forecast of arima Petrônio Cândido de Lima e Silva 2017-05-14 08:54:41 -0300
  • a0f49ea151 - Bugfix on interval forecast of quantreg Petrônio Cândido de Lima e Silva 2017-05-14 01:19:49 -0300
  • 8bc4b966b6 - Bugfix on interval forecast of quantreg Petrônio Cândido de Lima e Silva 2017-05-13 22:35:59 -0300
  • 0b7799a9bb - Bugfix on interval forecast of quantreg Petrônio Cândido de Lima e Silva 2017-05-13 22:32:40 -0300
  • f8ac95d24e - Correction of inverse transformation on interval forecasts Petrônio Cândido de Lima e Silva 2017-05-13 21:37:10 -0300
  • 2c0e685e87 - Optimizations for interval distributed benchmarks Petrônio Cândido de Lima e Silva 2017-05-13 21:03:49 -0300
  • 3b21889d6c - Bugfixes in naive, arima and quantreg and optimizations on benchmarks Petrônio Cândido de Lima e Silva 2017-05-09 19:04:51 -0300
  • 5f7c0f0bfa - Bugfixes in naive, arima and quantreg and optimizations on benchmarks Petrônio Cândido de Lima e Silva 2017-05-09 19:03:53 -0300