Welcome to XAI-DESReg documentation!

XAI-DESReg is an open-source library focusing on implementing state-of-the-art techniques for dynamic regressor and ensemble selection. This project is under active development. Contributions are welcomed through its GitHub page: https://github.com/adv-panda/xai-desreg

Note

This project is under active development.

Contents

• Usage
  • Installation
• Introduction
• Dynamic Selection
  • Dynamic Ensemble Selection (DES)
  • Dynamic Regressor Selection (DRS)
• Basic Usage Example

Example

from xaidesreg.des import DES

pool_regressors = [regressor1, ..., regressorN]

# Initialize the DS model
des = DES(pool_regressors)

# Fit the dynamic selection model
des.fit(X_dsel, y_dsel)

# Predict new examples
des.predict(X_test)

# Check performance (based on MSE)
des.score(X_test, y_test)