v0.3

🗒️ What's Changed

We've refactor main points on the code, multiple modules were created to meet the description of the architecture in #18. Besides the refactoring, some features were implemented which gave the software a few performance improvements, such as an improvement in the setup by using an argparser to setup the framework. Also, a new instances generator module was implemented, based on the older version.

Important Pull Request's

• [Feature] Setup Options com Argparser e Terminal Interaction by @SteffanoP in #21
• [Feature] Módulo Gerador de Instâncias by @SteffanoP in #24
• [Refactor] Extraction of Data Complexity Measures by @SteffanoP in #28
• [Refactor] Main Code to a modular Architecture by @SteffanoP in #34

Full Changelog: v0.2...v0.3

v0.2

🗒️ What's Changed

We've implemented a feature to extract complexity characteristics from a real-world datasets to reproduce the same characteristics in a synthetic data-set. Some pre-processing was also implemented to reproduce properties of a real-world data-set.

Important Pull Request's

• [Feature] Gerar datasets sintéticos baseado em outro dataset by @SteffanoP in #4
• [Refactor] Módulo de Complexidade by @SteffanoP in #7
• [Refactor] Módulo Gerador de Datasets randomizados by @SteffanoP in #9
• [Feature] Geração de datasets sintéticos com quantidade de classes by @SteffanoP in #11
• [Feature] Métricas para cálculo de complexidade by @SteffanoP in #10
• [Feature] Pré-processamento de dataset gerado by @SteffanoP in #13

Full Changelog: v0.1...v0.2

v0.1

This is a figurative release, the first version is at thiagorfrf1/Many-Objective-GERADOR-DE-DATASETS, due to the fact that this repository is not a fork from the original.