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incerto

incerto: Uncertainty Quantification for Machine Learning

User Guide

Overview
Installation
Quick Start
Which Method Should I Use?
Calibration Guide
Out-of-Distribution Detection Guide
Conformal Prediction Guide
Selective Prediction Guide
LLM Uncertainty Quantification Guide
Bayesian Deep Learning Guide
Active Learning Guide
Distribution Shift Detection Guide

API Reference

Calibration
Out-of-Distribution Detection
Conformal Prediction
Selective Prediction
LLM Uncertainty
Bayesian Deep Learning
Active Learning
Distribution Shift Detection
Data Utilities
Utilities

Examples

Selective Prediction
Bayesian Uncertainty
Active Learning
Distribution Shift Detection

Development

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Changelog

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.rst

incerto.sp.coverage

Contents

coverage()

incerto.sp.coverage#

incerto.sp.coverage(reject)[source]#

Proportion of accepted samples.

Parameters:: reject (Tensor)
Return type:: Tensor

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coverage()

By Stephan Rabanser

© Copyright 2025, Stephan Rabanser.

incerto - Uncertainty Quantification for Machine Learning
Latin: uncertain, doubtful, unsure