 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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bcb8432457
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cleaning
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2020-12-15 15:28:20 +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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d6edfe983e
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Merge branch 'master' of https://gitea-s2i2s.isti.cnr.it/moreo/QuaPy
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2020-12-15 13:39:43 +01:00 |
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Alejandro Moreo Fernandez
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f50c59b384
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license updated
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2020-12-15 13:36:24 +01:00 |
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Alejandro Moreo Fernandez
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8f543db638
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updated TODO list
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2020-12-14 18:42:18 +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 |
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Alejandro Moreo Fernandez
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c0db4a2867
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Initial commit
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2020-11-16 16:46:30 +01:00 |