Welcome to MetaSklearn’s documentation!

MetaSklearn is a flexible and extensible Python library that brings metaheuristic optimization to hyperparameter tuning of scikit-learn models. It provides a seamless interface to optimize hyperparameters using nature-inspired algorithms from the [Mealpy](https://github.com/thieu1995/mealpy) library. It is designed to be user-friendly and efficient, making it easy to integrate into your machine learning workflow.

• Free software: GNU General Public License (GPL) V3 license

• Provided Searcher: MetaSearchCV

• Total Metaheuristic-based Scikit-Learn Regressor: > 200 Models

• Total Metaheuristic-based Scikit-Learn Classifier: > 200 Models

• Supported performance metrics: >= 67 (47 regressions and 20 classifications)

• Supported objective functions (as fitness functions or loss functions): >= 67 (47 regressions and 20 classifications)

• Documentation: https://metasklearn.readthedocs.io

• Python versions: >= 3.8.x

• Dependencies: numpy, scipy, scikit-learn, pandas, mealpy, permetrics

Quick Start:

• Installation
• Tutorials
  • Provided classes
  • DataTransformer class
  • Data class
  • Searcher class

Models API:

• metasklearn package
  • metasklearn.core package
    • metasklearn.core.problem module
      • HyperparameterProblem
    • metasklearn.core.search module
      • MetaSearchCV
  • metasklearn.utils package
    • metasklearn.utils.data_handler module
      • Data
      • DataTransformer
      • FeatureEngineering
      • TimeSeriesDifferencer
    • metasklearn.utils.evaluation module
      • get_all_classification_metrics()
      • get_all_regression_metrics()
      • get_metric_sklearn()
      • get_metrics()
    • metasklearn.utils.scaler module
      • BoxCoxScaler
      • LabelEncoder
      • Log1pScaler
      • LogeScaler
      • ObjectiveScaler
      • OneHotEncoder
      • SinhArcSinhScaler
      • SqrtScaler
      • YeoJohnsonScaler
    • metasklearn.utils.validation module
      • check_bool()
      • check_float()
      • check_int()
      • check_str()
      • check_tuple_float()
      • check_tuple_int()
      • is_in_bound()
      • is_str_in_list()

Support:

• Citation Request
• Important links
• License

Indices and tables

• Index

• Module Index

• Search Page