opendataval.dataval.ModelLessMixin

class opendataval.dataval.ModelLessMixin

Mixin for DataEvaluators without a prediction model and use embeddings.

Using embeddings and then predictiong the data values has been used by Ruoxi Jia Group with their KNN Shapley and LAVA data evaluators.

References

[1]

R. Jia et al., Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms, arXiv.org, 2019. Available: https://arxiv.org/abs/1908.08619.

Attributes

embedding_modelModel

Embedding model used by model-less DataEvaluator to compute the data values for the embeddings and not the raw input.

pred_modelModel

The pred_model is unused for training, but to compare a series of models on the same algorithim, we compare against a shared prediction algorithim.

__init__()

Methods

__init__()
embeddings(*tensors)	Returns Embeddings for the input tensors