Version 0.8.0 (Under development)¶
Changelog¶
New features¶
Add the the function
imblearn.metrics.macro_averaged_mean_absolute_error
returning the average across class of the MAE. This metric is used in ordinal classification. #780 by Aurélien Massiot.Add the class
imblearn.metrics.pairwise.ValueDifferenceMetric
to compute pairwise distances between samples containing only nominal values. #796 by Guillaume Lemaitre.
Enhancements¶
Add option
output_dict
inimblearn.metrics.classification_report_imbalanced
to return a dictionary instead of a string. #770 by Guillaume Lemaitre.Added an option to generate smoothed bootstrap in
imblearn.over_sampling.RandomOverSampler
. It is controls by the parametershrinkage
. This method is also known as Random Over-Sampling Examples (ROSE). #754 by Andrea Lorenzon and Guillaume Lemaitre.
Bug fixes¶
Fix a bug in
imblearn.under_sampling.ClusterCentroids
wherevoting="hard"
could have lead to select a sample from any class instead of the targeted class. #769 by Guillaume Lemaitre.Fix a bug in
imblearn.FunctionSampler
where validation was performed even withvalidate=False
when callingfit
. #790 by Guillaume Lemaitre.