Skip to content
pyDVL
Reporting
Initializing search
aai-institute/pyDVL
Home
Getting Started
Data Valuation
The Influence Function
Examples
Code
pyDVL
aai-institute/pyDVL
Home
Getting Started
Getting Started
First steps
Applications
Benchmarking
Methods
Advanced usage
Glossary
Data Valuation
Data Valuation
Shapley values
Semi-values
The Core
Class-wise Shapley
The Influence Function
The Influence Function
Influence Function Model
Scaling Computation
Examples
Examples
Data Valuation
Data Valuation
Shapley values
KNN Shapley
Data utility learning
Least Core
Data OOB
Banzhaf Semivalues
Influence Function
Influence Function
For CNNs
For mislabeled data
For outlier detection
For language models
Code
Code
API Reference
API Reference
Influence
Influence
Array
Base influence function model
Influence calculator
Torch
Torch
Functional
Influence function model
Pre conditioner
Util
Parallel
Parallel
Backend
Config
Map reduce
Backends
Backends
Joblib
Ray
Futures
Futures
Ray
Reporting
Reporting
Plots
Scores
Utils
Utils
Config
Dataset
Exceptions
Functional
Numeric
Progress
Score
Status
Types
Utility
Caching
Caching
Base
Config
Disk
Memcached
Memory
Value
Value
Games
Result
Sampler
Semivalues
Stopping
Least core
Least core
Common
Montecarlo
Naive
Loo
Loo
Loo
Oob
Oob
Oob
Shapley
Shapley
Classwise
Common
Gt
Knn
Montecarlo
Naive
Owen
Truncated
Types
Changelog
Development Guidelines
pydvl.reporting
¶
Back to top