v0.1.13

CounterfactualExplanations v0.1.13

Diff since v0.1.12

Closed issues:

• [Generator] Add the PROBE generator (#162)
• [Generator] Add the Feature Tweak generator (#163)
• [Generator] Add the Growing Spheres generator (#164)
• [Generator] Add the CLUE generator (#166)
• [Benchmarks] Add the CIFAR-10 dataset (#167)
• [Benchmarks] Add the Statlog German Credit dataset (#168)
• [Benchmarks] Add the UCI Adult dataset (#169)
• Sort out exports (#170)
• Investigate ONNX.jl to handle Python models (#171)
• Investigate ONNX.jl to handle R models (#172)
• [Interface to MLJ] Interface to supervised MLJ models (#173)
• [Interface to MLJ] Investigate which MLJ models are compatible with the package (#174)
• [Interface to MLJ] Investigate if a single class can handle MLJ models (#175)
• [Interface to MLJ] Converter class for evotrees (#176)
• Final summary (#177)
• [Penalty strengths] Determine the optimal penalty strengths (#179)
• [Penalty strengths] Interactive notebook for penalty strength tuning (#182)
• Improve visualization (#184)
• Display parameters in docs (#188)
• Break up and sort out imports/exports in counterfactuals folder (#189)
• Add support for tree-based classifiers from the MLJ library (#197)
• File splitting and imports/exports (#209)
• Break up and sort out imports/exports in generative_models folder (#210)
• Break up and sort out imports/exports in generators folder (#211)
• Break up and sort out imports/exports in models folder (#212)
• Break up and sort out imports/exports in objectives folder (#213)
• Break up and sort out imports/exports in evaluation folder (#214)
• Break up and sort out imports/exports in data_preprocessing folder (#215)
• Break up and sort out imports/exports in data folder (#216)
• Break up and sort out imports/exports in counterfactual folder (#217)
• Sort out comments and code style (#224)
• Add counterfactual generator support for EvoTrees (#225)
• Improve testing (#226)
• Add probe to final notebook (#236)

Merged pull requests:

• 163: Add the Feature Tweak generator (#195) (@kmariuszk)
• 168 benchmarks add the statlog german credit dataset (#199) (@kmariuszk)
• 162 generator add the probe generator (#200) (@kmariuszk)
• Update pretrained.jl with CIFAR10 functionality (#205) (@kmariuszk)
• 173: Interface to Supervised MLJ Models (#206) (@RaunoArike)
• 189 break up counterfactualsfunctionsjl into several files (#221) (@laurikskl)
• Refactored Data (#222) (@VincentPikand)
• Refactored evaluation (#227) (@laurikskl)
• Refactored generative models (#228) (@laurikskl)
• Refactored objectives (#229) (@laurikskl)
• Refactored data preprocessing (#230) (@laurikskl)
• Refactored models (#231) (@VincentPikand)
• Refactored generators (#232) (@VincentPikand)
• Add support for R models (#234) (@kmariuszk)
• Add the UCI Adult dataset (#235) (@A-Salmon)
• Additional dataset tests (#237) (@VincentPikand)
• Additional tests for models (#238) (@RaunoArike)
• Add support for Python models (#239) (@RaunoArike)
• Refactor the testing folder (#240) (@RaunoArike)
• add codecov.yml file (#241) (@VincentPikand)
• Add the growing spheres generator (#243) (@kmariuszk)
• 166 clue (#245) (@laurikskl)
• Pretrained model tests (#247) (@RaunoArike)
• Display parameters in docs (#249) (@A-Salmon)
• Improve summary notebook (#250) (@RaunoArike)
• Penalty strength notebook and UMAP report (#251) (@VincentPikand)
• Development into main (#252) (@VincentPikand)
• 242 minor paper revisions (#253) (@pat-alt)
• Final tings before merge ... (#259) (@pat-alt)