#Version 0.1.6 [development]

Minor changes

Fixes issue #22 - wLambda error when a class has less than 2 instances
Fixes infotheo when the dataset cannot be discretized
Fixes landmarking to handle with datasets with a single column

Version 0.1.5 [current]

Minor changes

Set 'stringsAsFactors = TRUE' in data.frame to keep compatibility with R 4.0

Version 0.1.4

Minor changes

Include complexity meta-features
Include concept characterization meta-features
Include itemset meta-features
Include the option "default" to distinguish from "all" meta-features groups

Version 0.1.3

Minor changes

Include relative meta-features
Include clustering meta-features

Bugfixes

Change the Decision Tree params to support sparse datasets

Version 0.1.2

Minor changes

Change license

Bugfixes

Support dataset with weird attribute's names
Changed the comparison of the nrNorm statistical meta-feature

Version 0.1.1

Minor changes

Add new measures in all groups
Support to new summarization techniques in post.processing method
Increase the robustness of the Decision Tree algorithm to imbalanced datasets
Change in the Decision Tree algorithm to support more Landmarking measures
Support categorical attributes on the 1NN and eNN measures

Bugfixes

Fix Decision Tree model errors related with minority class with an unique instance
Support datasets that have columns named with numbers
Fix harmonic and geometric mean

First release of mfe:

General meta-features
Statistical meta-features
Discriminant meta-features
Information theoretical meta-features
Model based Decision Tree meta-features
Landmarking meta-features