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aai-institute/pyDVL
pyDVL
aai-institute/pyDVL
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Getting Started
Getting Started
Installation
First steps
Data Valuation
Data Valuation
Introduction
Notation
Shapley Values
Semi-values
The core
Examples
Examples
Shapley values
KNN Shapley
Data utility learning
Least Core
The Influence Function
The Influence Function
Introduction
Examples
Examples
For CNNs
For mislabeled data
For outlier detection
Code
Code
Changelog
API
API
Influence
Influence
General
Inversion
Twice differentiable
Torch
Torch
Functional
Torch differentiable
Util
Reporting
Reporting
Plots
Scores
Utils
Utils
Caching
Config
Dataset
Functional
Numeric
Progress
Score
Status
Types
Utility
Parallel
Parallel
Backend
Map reduce
Backends
Backends
Joblib
Ray
Futures
Futures
Ray
Value
Value
Result
Sampler
Semivalues
Stopping
Least core
Least core
Common
Montecarlo
Naive
Loo
Loo
Loo
Naive
Shapley
Shapley
Common
Gt
Knn
Montecarlo
Naive
Owen
Truncated
Types
Table of contents
backends
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Last update:
2023-09-02
Created:
2023-09-02
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