Covers: application of Monotonic Constraints
Estimated time needed to finish: 15 minutes
Questions this item addresses:
- How to implement monotonic constraints on a Machine Learning Model?
How to use this item?
This blog post shows includes the motivation for using monotonic constraints in regulated domains requiring explanations. It also provides visualization of monotonic functions and a code example of imposing monotonic constrains XGBoost and LightGBM models
Author(s) / creator(s) / reference(s)
Ajay Tiwari
0 comment
Monotonic Constraints, Interaction Constraints and Cost-Sensitive Learning
Contributors
- Objectives
- Techniques for placing constraints on machine learning models to ensure they don't end up with illogical or biased results
- Potential Use Cases
- Bias-mitigation and for injecting domain knowledge into the model
- Who is This For ?
- INTERMEDIATEMachine Learning Developers focused on bias mitigation and model validation
Click on each of the following annotated items to see details.
ARTICLE 1. Bias in Machine learning models
- What is bias and sources of bias in ML models?
10 minutes
PAPER 2. Deontological Ethics By Monotonicity Shape Constraints
- What is an example of applying monotonic constraints to migitge bias?
60 minutes
ARTICLE 3. Application of Monotonic Constraints in Machine Learning Models
- How to implement monotonic constraints on a Machine Learning Model?
15 minutes
REPO 4. Feature Interaction Constraints in XGBoost
- What is a code example of applying feature interaction constraints on an XGBoost model?
60 minutes
PAPER 5. Feature Interactions in XGBoost
- What is feature interaction in non-linear models?
34 minutes
PAPER 6. Cost-Sensitive Learning and the Class Imbalance Problem
- What is the motivation for cost sensitive learning?
60 minutes
Concepts Covered
0 comment