 Alejandro Moreo Fernandez
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301e8b9088
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adding uci ml datasets
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2021-01-25 18:38:56 +01:00 |
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Alejandro Moreo Fernandez
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8a53cfe677
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parallel in threading mode (another)
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2021-01-25 16:46:59 +01:00 |
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Alejandro Moreo Fernandez
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2fda46fc13
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qp.environment was not reachable within Parallel processes; changing backend to threading
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2021-01-25 09:58:39 +01:00 |
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Alejandro Moreo Fernandez
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e7527bd7ed
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bugfix
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2021-01-25 09:02:11 +01:00 |
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Alejandro Moreo Fernandez
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2001c6d852
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running ensembles
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2021-01-25 08:54:10 +01:00 |
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Alejandro Moreo Fernandez
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03cf73aff6
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refactor: methods requiring a val_split can now declare a default value in the __init__ method that will be used in case the fit method is called without specifying the val_split, which now is by default None in the fit, i.e., by default takes the value of the init, that is generally set to 0.4; some uci datasets added; ensembles can now be optimized for quantification, and can be trained on samples of smaller size
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2021-01-22 18:01:51 +01:00 |
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Alejandro Moreo Fernandez
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54dc2980e6
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creating checkpointdir in fit
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2021-01-22 10:03:08 +01:00 |
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Alejandro Moreo Fernandez
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bf1cc74ba1
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quapy fixed
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2021-01-22 09:58:12 +01:00 |
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Alejandro Moreo Fernandez
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1ba0748b59
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experimental method ave-pool, not working due to the fact that onevsall is aggregative and ave-pool is not
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2021-01-20 17:03:12 +01:00 |
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Alejandro Moreo Fernandez
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99132c8166
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fixing quanet
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2021-01-20 12:35:14 +01:00 |
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Alejandro Moreo Fernandez
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f69eb59eb8
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launching quanet
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2021-01-20 09:01:04 +01:00 |
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Alejandro Moreo Fernandez
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482e4453a8
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refactor of ensembles, launching EPACC with Ptr policy
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2021-01-19 18:26:40 +01:00 |
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Alejandro Moreo Fernandez
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1399125fb8
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adding QuaNet to experiments of Twitter; trying new stuff in 'NewMethods'
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2021-01-18 19:14:04 +01:00 |
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Alejandro Moreo Fernandez
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b30c40b7a0
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some refactor made in order to accomodate OneVsAll to operate with aggregative probabilistic quantifiers; launching OneVsAll(HDy)
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2021-01-18 16:52:19 +01:00 |
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Alejandro Moreo Fernandez
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8ef9e6a633
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bugfix
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2021-01-18 10:53:22 +01:00 |
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Alejandro Moreo Fernandez
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5e64d2588a
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import fixes
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2021-01-15 18:32:32 +01:00 |
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Alejandro Moreo Fernandez
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9c7c017acd
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import fix
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2021-01-15 17:47:55 +01:00 |
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Alejandro Moreo Fernandez
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27c688eb2e
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import fix
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2021-01-15 17:44:28 +01:00 |
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Alejandro Moreo Fernandez
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865dafaefc
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setting a timeout for model_selection combinations in order to prevent some combinations to stuck the model selection
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2021-01-15 17:42:19 +01:00 |
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Alejandro Moreo Fernandez
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c5ae2f8b1f
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adding table manager
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2021-01-15 08:33:39 +01:00 |
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Alejandro Moreo Fernandez
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3c5a53bdec
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testing quapy via replicating Tweet Quantification experiments
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2021-01-12 17:39:00 +01:00 |
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Alejandro Moreo Fernandez
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3e07feda3c
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import bug fixed
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2021-01-12 09:35:49 +01:00 |
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Alejandro Moreo Fernandez
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2ec3400d15
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adding tweet sent quant experiments
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2021-01-11 18:31:12 +01:00 |
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Alejandro Moreo Fernandez
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41347b50f9
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cleaning and adding some uci datasets
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2021-01-11 12:55:06 +01:00 |
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Alejandro Moreo Fernandez
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d1b449d2e9
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plot functionality added
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2021-01-07 17:58:48 +01:00 |
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Alejandro Moreo Fernandez
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5894d46b31
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cleaning
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2021-01-06 15:00:48 +01:00 |
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Alejandro Moreo Fernandez
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326a8ab803
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added Ensemble methods (methods ALL, ACC, Ptr, DS from Pérez-Gallego et al 2017 and 2019) and some UCI ML datasets used in those articles (only 5 datasets out of 32 they used)
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2021-01-06 14:58:29 +01:00 |
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Alejandro Moreo Fernandez
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d8e2f7556e
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QuaNet added, two examples of TextClassifiers added (CNN, LSTM)
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2020-12-29 20:33:59 +01:00 |
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Alejandro Moreo Fernandez
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3ec711c96e
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model selection for quantification added
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2020-12-23 11:14:35 +01:00 |
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Alejandro Moreo Fernandez
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7bed93dcbf
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added model selection for quantification
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2020-12-22 17:43:23 +01:00 |
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Alejandro Moreo Fernandez
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7d6f523e4b
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uniform sampling added if *prevs is empty
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2020-12-17 18:17:17 +01:00 |
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Alejandro Moreo Fernandez
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71949e9a03
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cleaning
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2020-12-15 15:20:35 +01:00 |
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Alejandro Moreo Fernandez
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649d412389
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dataset fetch for polarity reviews (hp, kindle, imdb) and twitter sentiment (11 datasets) added
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2020-12-14 18:36:19 +01:00 |
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Alejandro Moreo Fernandez
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c8a1a70c8a
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refactoring aggregative methods as methods that not only implement 'classify' and 'quantify', but that also implement 'aggregate' and that, by default, have a default implementation of 'quantify' as a pipeline of 'classify' and 'aggregate'; this helps speeding up evaluations A LOT, since the documents can be pre-classified and the samples are carried out across pre-classified values (labels, or posterior probabilities), and thus only aggregate is called many times within the artificial sampling protocol
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2020-12-11 19:28:17 +01:00 |
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Alejandro Moreo Fernandez
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e55caf82fd
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merged
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2020-12-10 19:08:22 +01:00 |
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Alejandro Moreo Fernandez
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9bc3a9f28a
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evaluation by artificial prevalence sampling added. New methods added. New util functions added to quapy.functional and quapy.utils
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2020-12-10 19:04:33 +01:00 |
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Alejandro Moreo Fernandez
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2361186a01
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aggregation methods updated
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2020-12-09 12:46:50 +01:00 |
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Alejandro Moreo Fernandez
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9c8d29156c
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aggregative methods adapted. Explicit loss minimization methods (SVMQ, SVMKLD, ...) added and with support to binary or single-label. HDy added
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2020-12-04 19:32:08 +01:00 |
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Alejandro Moreo Fernandez
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a882424eeb
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many aggregative methods added
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2020-12-03 18:12:28 +01:00 |
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Alejandro Moreo Fernandez
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78988c87f9
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svmperf wrapper added
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2020-12-03 16:59:13 +01:00 |
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Alejandro Moreo Fernandez
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e81009e665
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fixing dataset loading
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2020-12-03 16:36:54 +01:00 |
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Alejandro Moreo Fernandez
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b6820e8dba
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data loading
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2020-12-03 16:24:21 +01:00 |