Names of features that we performed categorical tests on
Values of cramersV for each feature (should be the same for everything coming from the same contingency matrix)
Map from label value (as a string) to an Array (over features) of PMI values
Values of MI for each feature (should be the same for everything coming from the same contingency matrix)
Counts of occurrence for categoricals (n x m array of arrays where n = number of labels and m = number of features + 1 with last element being occurrence count of labels
Names of features that we performed categorical tests on
Counts of occurrence for categoricals (n x m array of arrays where n = number of labels and m = number of features + 1 with last element being occurrence count of labels
Values of cramersV for each feature (should be the same for everything coming from the same contingency matrix)
Values of MI for each feature (should be the same for everything coming from the same contingency matrix)
Map from label value (as a string) to an Array (over features) of PMI values
Converts to Metadata
Converts to Metadata
skip unsupported values
Metadata metadata
RuntimeException
in case of unsupported value type
Converts to Metadata
Converts to Metadata
Metadata metadata
RuntimeException
in case of unsupported value type
Container class for statistics calculated from contingency tables constructed from categorical variables
Names of features that we performed categorical tests on
Values of cramersV for each feature (should be the same for everything coming from the same contingency matrix)
Map from label value (as a string) to an Array (over features) of PMI values
Values of MI for each feature (should be the same for everything coming from the same contingency matrix)
Counts of occurrence for categoricals (n x m array of arrays where n = number of labels and m = number of features + 1 with last element being occurrence count of labels
(Since version 3.3.0) Functionality replaced by Array[CategoricalGroupStats]