dataeval.detectors#
Detectors can determine if a dataset or individual images in a dataset are indicative of a specific issue.
Submodules#
Drift detectors identify if the statistical properties of the data has changed. |
|
Linters help identify potential issues in training and test data and are an important aspect of data cleaning. |
|
Out-of-distribution (OOD)` detectors identify data that is different from the data used to train a particular model. |