QuaPy/TweetSentQuant
Alejandro Moreo Fernandez 03cf73aff6 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 2021-01-22 18:01:51 +01:00
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Gao_Sebastiani_results.txt tables complete; refactoring needed urgently 2021-01-13 18:43:35 +01:00
experiments.py 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 2021-01-22 18:01:51 +01:00
gen_tables.py experimental method ave-pool, not working due to the fact that onevsall is aggregative and ave-pool is not 2021-01-20 17:03:12 +01:00
settings.py 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 2021-01-22 18:01:51 +01:00
tabular.py setting a timeout for model_selection combinations in order to prevent some combinations to stuck the model selection 2021-01-15 17:42:19 +01:00