View source on GitHub |
Returns a pandas dataframe representation of a sequence of ConfusionCount.
tfdv.get_confusion_count_dataframes(
confusion: Iterable[feature_skew_results_pb2.ConfusionCount]
) -> Dict[str, pd.DataFrame]
Args | |
---|---|
confusion
|
An interable over ConfusionCount protos. |
Returns: A map from feature name to a pandas dataframe containing match counts along with base and test counts for all unequal value pairs in the input.