Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
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Updated
Jan 23, 2023 - Jupyter Notebook
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Conformalized matrix completion
An Independence Test based on Data-Driven Tree-Structured Representations.
Example on task completion times stressing the importance of distribution-free intervals, as well as .py file containing code to calculate such intervals.
A method for cold-deck imputation of a continuous distribution from binned incomes, using a real-world reference data set
Distribution-free test for general differences in two populations
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