Hyper-param-tuning-examples

This repository contains examples for the hyper-parameter tuning modules of the scikit-ika package.

ARF number of trees tuning

Here is a workflow to use the modules aiming to tune the number of trees in an Adaptive Random Forest :

The files can be found at :

• https://github.com/scikit-ika/hyper-param-tuning-examples/blob/master/examples_tuning/knowledge_generation/script_knowledge_trees.py
• https://github.com/scikit-ika/hyper-param-tuning-examples/blob/master/examples_tuning/pareto_knowledge/script_build_pareto_trees.py
• https://github.com/scikit-ika/hyper-param-tuning-examples/blob/master/examples_tuning/arf_trees_tuning//script_experiments_tuning_trees_arf.py

Drift detectors tuning

Here is a workflow to use the modules aiming to tune parameters of drift detectors :

The files can be found at :

• https://github.com/scikit-ika/hyper-param-tuning-examples/blob/master/examples_tuning/knowledge_generation/script_knowledge_drifts_detectors.py
• https://github.com/scikit-ika/hyper-param-tuning-examples/blob/master/examples_tuning/pareto_knowledge/script_build_pareto_drifts_detectors.py
• https://github.com/scikit-ika/hyper-param-tuning-examples/blob/master/examples_tuning/drift_tuning/script_experiments_drift_detectors.py