opendataval.dataval

Create DataEvaluator to quantify the value of data.

Data Evaluator

Provides an ABC for DataEvaluator to inherit from. The work flow is as follows: Register, DataFetcher -> DataEvaluator -> exper_methods

Catalog

DataEvaluator(*args, **kwargs)	Abstract class of Data Evaluators.
ModelMixin()
ModelLessMixin()	Mixin for DataEvaluators without a prediction model and use embeddings.
AME(*args, **kwargs)	Implementation of Average Marginal Effect Data Valuation.
DVRL(*args, **kwargs)	Data valuation using reinforcement learning class, implemented with PyTorch.
InfluenceFunction(*args, **kwargs)	Influence Function Data evaluation implementation.
InfluenceSubsample(*args, **kwargs)	Influence computed through subsamples implementation.
KNNShapley(*args, **kwargs)	Data valuation using KNNShapley implementation.
DataOob(*args, **kwargs)	Data Out-of-Bag data valuation implementation.
DataBanzhaf(*args, **kwargs)	Data Banzhaf implementation.
BetaShapley(*args, **kwargs)	Beta Shapley implementation.
DataShapley(*args, **kwargs)	Data Shapley implementation.
LavaEvaluator(*args, **kwargs)	Data valuation using LAVA implementation.
LeaveOneOut(*args, **kwargs)	Leave One Out data valuation implementation.
ShapEvaluator(*args, **kwargs)	Abstract class for all semivalue-based methods of computing data values.
RandomEvaluator(*args, **kwargs)	Completely Random DataEvaluator for baseline comparison purposes.
RobustVolumeShapley(*args, **kwargs)	Robust Volume Shapley and Volume Shapley data valuation implementation.
Sampler(*args, **kwargs)	Abstract Sampler class for marginal contribution based data evaluators.
TMCSampler(*args, **kwargs)	TMCShapley sampler for semivalue-based methods of computing data values.
GrTMCSampler(*args, **kwargs)	TMC Sampler with terminator for semivalue-based methods of computing data values.