Welcome to lunax’s documentation!

lunax is a machine learning framework for tabular data analysis.

Check out the Usage section for further information, including how to Installation the project.

Note

This project is under active development.

Contents

• Usage
  • Installation
  • Data Preprocessing
  • Exploratory Data Analysis
  • Modeling
  • Model Evaluation and Explainable AI (XAI)
  • Ensemble Learning
• lunax.data_processing
  • load_data()
  • split_data()
  • preprocess_data()
  • Example Usage
• lunax.viz
  • numeric_eda()
  • categoric_eda()
  • Example Usage
• lunax.models
  • XGBoost Models
    • xgb_reg
      • xgb_reg.fit()
      • xgb_reg.predict()
      • xgb_reg.evaluate()
    • xgb_clf
      • xgb_clf.fit()
      • xgb_clf.predict()
      • xgb_clf.predict_proba()
      • xgb_clf.evaluate()
  • LightGBM Models
    • lgbm_reg
      • lgbm_reg.fit()
      • lgbm_reg.predict()
      • lgbm_reg.evaluate()
    • lgbm_clf
      • lgbm_clf.fit()
      • lgbm_clf.predict()
      • lgbm_clf.predict_proba()
      • lgbm_clf.evaluate()
  • CatBoost Models
    • cat_reg
      • cat_reg.fit()
      • cat_reg.predict()
      • cat_reg.evaluate()
    • cat_clf
      • cat_clf.fit()
      • cat_clf.predict()
      • cat_clf.predict_proba()
      • cat_clf.evaluate()
• lunax.hyper_opt
  • OptunaTuner
    • OptunaTuner.optimize()
• lunax.ensembles
  • HillClimbingEnsemble
    • HillClimbingEnsemble.fit()
    • HillClimbingEnsemble.predict()
    • HillClimbingEnsemble.predict_proba()
    • HillClimbingEnsemble._get_ensemble_predictions()
    • HillClimbingEnsemble._evaluate_weights()
    • HillClimbingEnsemble._get_neighbors()
• lunax.xai
  • TreeExplainer
    • TreeExplainer.get_shap_values()
    • TreeExplainer.plot_summary()
    • TreeExplainer.plot_dependence()
    • TreeExplainer.plot_force()
    • TreeExplainer.get_feature_importance()