v2.2.0

• Update latest version of dependencies mealpy to 3.0.2 and permetrics to 2.0.0
• Update init() in MhaMlpRegressor, MhaMlpClassifier, and MhaMlpComparator classes.
• Update workflows, examples, tests, documents, citations, and readme.

v2.1.0

• Fix bug name of optimizer in MhaMlp models
• Fix bug encoding labels data in Data class
• Add GPU support for Gradient Descent-trained MLP models
• Rename optim_paras to optim_params in all models.
• Fix bug in validator module
• Fix bug missing loss_train in Gradient Descent-trained MLP models
• Update examples, tests, documents, citations, and readme.

v2.0.0

• Re-structure and re-implement the MLP, Metaheuristic-trained MLP, and Gradient Descent-trained MLP models.
• Remove dependency on the Skorch library.
• Add the MhaMlpTuner class, which tunes hyperparameters for Metaheuristic-based MLP models.
• Add the MhaMlpComparator class, which compares multiple Metaheuristic-based MLP models.
• Update examples, tests, and documentation.
• Update requirements, citations, and README.

v1.1.0

• Add MhaMlpRegressor and MhaMlpClassifier classes
• Add docs folder and document website
• Update examples and tests folders
• Add zenodo DOI, CITATION.cff

v1.0.1

• Add infors (CODE_OF_CONDUCT.md, MANIFEST.in, LICENSE, requirements.txt)
• Add helpers modules (act_util, metric_util, scaler_util, validator, preprocessor)
• Add MlpRegressor and MlpClassifier classes (Based on Pytorch and Skorch)
• Add publish workflow
• Add examples and tests folders

v0.0.1

Test publish library.