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
..
__init__.py	import fixes	2021-01-15 18:32:32 +01:00
base.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
datasets.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
preprocessing.py	import fixes	2021-01-15 18:32:32 +01:00
reader.py	import fixes	2021-01-15 18:32:32 +01:00