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TimberTrek brings interactive interpretable machine learning to the browser

Original: 💻 timbertrek: 168⭐ Interpretable ML meets interactive visualization, and it works in a browser. TimberTrek lets you expl

TimberTrek, an open-source tool gaining stars on GitHub, combines interpretable machine learning with interactive visualization. It lets users explore Rashomon sets — collections of equally accurate decision trees — and choose the model that best matches their domain knowledge. The tool runs as a web app and in Jupyter notebooks, drawing attention from data scientists interested in making model choices more transparent.

Why now: Growing interest in interpretable machine learning tools that make model selection transparent and interactive

TimberTrekGitHubJupyter

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• 💻 timbertrek: 168⭐ Interpretable ML meets interactive visualization, and it works in a browser. TimberTrek lets you explore Rashomon sets -- collections of equally accurate decision trees -- and pick the one that aligns with your domain knowledge. Runs as a web app, in Jupyter,… · jesper@tech.lgbt · 3

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