NEWS.md

In rivolli/mfe: Meta-Feature Extractor

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

rivolli/mfe documentation built on March 29, 2022, 11:08 p.m.