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Currently solely supports Data Shapely based on K-nearest-neighbor models.
Goal: add more efficient Data Valuation methods as options for this module.
One good one to consider (should benchmark against Cleanlab's current KNN Data Shapely) is the complexity-gap method published in this paper:
jwmueller
changed the title
add (another model-free) data valuation method: complexity-gap score
[new feature] add (another model-free) data valuation method: complexity-gap score
Jan 31, 2024
Cleanlab's data valuation module: https://docs.cleanlab.ai/master/cleanlab/datalab/internal/issue_manager/data_valuation.html
Currently solely supports Data Shapely based on K-nearest-neighbor models.
Goal: add more efficient Data Valuation methods as options for this module.
One good one to consider (should benchmark against Cleanlab's current KNN Data Shapely) is the complexity-gap method published in this paper:
DATA VALUATION WITHOUT TRAINING OF A MODEL
https://arxiv.org/abs/2301.00930
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