ImageDatasetDrift.compute(context: Context) CheckResult[source]#

Train a Domain Classifier on image property data that was collected during update() calls.


value: dictionary containing the domain classifier auc and a dict of column name to its feature importance as calculated for the domain classifier model. display: distribution graph for each column for the columns most explaining the dataset difference, comparing the train and test distributions.