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CodeRabbit
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FastTreeSHAP discussion
FastTreeSHAP reviews and mentions
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Open Source Hacktivism, Open Source Gains Traction in the Enterprise, and More: Open Source Matters
FastTreeSHAP - A Python package from LinkedIn for fast interpretation of the TreeSHAP algorithm.
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[N] LinkedIn open sources FastTreeSHAP Python package for interpretation of tree-based ML models
LinkedIn open sources the FastTreeSHAP Python package for efficient interpretation of tree-based ML models using SHAPLEY. FastTreeSHAP v2 would be 2.5x faster than TreeSHAP. Let's reminder that SHAP (SHapley Additive exPlanation) values quantify the contribution of each feature to the model prediction, a bit like how each player contributes to the success of a sports team. SHAP does it by incorporating concepts from game theory and local explanations. LinkedIn blog post, scientific paper, and GitHub repo with IPython Notebooks.
- LinkedIn Researchers Open-Source ‘FastTreeSHAP’: A Python Package That Enables An Efficient Interpretation of Tree-Based Machine Learning Models
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Stats
linkedin/FastTreeSHAP is an open source project licensed under BSD 2-clause "Simplified" License which is an OSI approved license.
The primary programming language of FastTreeSHAP is Python.