v0.64.0
Overview
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Installation Guide
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Concepts
Explanations
Bayes Error Rate Estimation
Detecting Bias in Datasets
Clustering
Cleaning Datasets
Metadata Parity
Dataset Divergence
Detecting Drift in Datasets
Detecting Duplicates
ImageStats and ChannelStats Classes
Linter Class
Model Training Methods
Detecting Out of Distribution Data
Sufficiency
Upperbound on Average Precision
What is it
When to use it
Theory behind it
Glossary
Reference
Reference Guide
DataEval Change Log
About
DataEval
Explanations
Upperbound on Average Precision
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Upperbound on Average Precision
What is it
When to use it
Theory behind it