Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.
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Updated
Dec 2, 2024 - Jupyter Notebook
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.
Train a probabilistic color model from pixel data to distinguish among red, green, and blue pixels.
Probability prediction of S&P 500 quarterly returns falling within predefined return ranges using Bayes linear regression model
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