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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
Classwise Shapley
Examples
Examples
Shapley values
KNN Shapley
Data utility learning
Least Core
Data OOB
The Influence Function
The Influence Function
Introduction
Influence Function Model
Scaling Computation
Examples
Examples
For CNNs
For mislabeled data
For outlier detection
Code
Code
Changelog
API
API
Influence
Influence
Array
Base influence function model
Influence calculator
Torch
Torch
Functional
Influence function model
Util
Parallel
Parallel
Backend
Config
Map reduce
Backends
Backends
Joblib
Ray
Futures
Futures
Ray
Reporting
Reporting
Plots
Scores
Utils
Utils
Config
Dataset
Functional
Numeric
Parallel
Progress
Score
Status
Types
Utility
Caching
Caching
Base
Config
Disk
Memcached
Memory
Value
Value
Result
Sampler
Semivalues
Stopping
Least core
Least core
Common
Montecarlo
Naive
Loo
Loo
Loo
Naive
Oob
Oob
Oob
Shapley
Shapley
Classwise
Common
Gt
Knn
Montecarlo
Naive
Owen
Truncated
Types
Table of contents
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Last update:
2023-12-21
Created:
2023-12-21
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