tfdv.get_confusion_count_dataframes
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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.
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Last updated 2024-10-18 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-10-18 UTC."],[],[]]
View source on GitHub