DiCE
shapley
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DiCE | shapley | |
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2 | 7 | |
1,270 | 210 | |
2.4% | - | |
8.2 | 2.7 | |
11 days ago | 10 months ago | |
Python | Python | |
MIT License | MIT License |
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DiCE
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[D] Have researchers given up on traditional machine learning methods?
- all domains requiring high interpretability absolutely ignore deep learning at all, and put all their research into traditional ML; see e.g. counterfactual examples, important interpretability methods in finance, or rule-based learning, important in medical or law applications
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[R] The Shapley Value in Machine Learning
Counter-factual and recourse-based explanations are alternative approach to model explanations. I used to work in a large financial institution, and we were researching whether counter-factual explanation methods would lead to better reason codes for adverse action notices.
shapley
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AstraZeneca Researchers Explain the Concept and Applications of the Shapley Value in Machine Learning
Code for https://arxiv.org/abs/2202.05594 found: https://github.com/benedekrozemberczki/shapley
- Calculating and approximating the Shapley value in voting games
- Show HN: Pruning Machine Learning Models with the Shapley Value
- Show HN: Shapley: Explaining Machine Learning Ensembles
- Shapley - a Python library for solving weighted voting games.
- Show HN: Shapley – a Python library for scoring ML models in an ensemble
What are some alternatives?
OmniXAI - OmniXAI: A Library for eXplainable AI
DALEX - moDel Agnostic Language for Exploration and eXplanation
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
autogluon - Fast and Accurate ML in 3 Lines of Code
AIX360 - Interpretability and explainability of data and machine learning models
sagemaker-explaining-credit-decisions - Amazon SageMaker Solution for explaining credit decisions.
interpret - Fit interpretable models. Explain blackbox machine learning.
awesome-shapley-value - Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
harakiri - Help applications kill themselves
stranger - Chat anonymously with a randomly chosen stranger
csle - A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.