Expect the column values to have a DataProfiler confidence threshold less than or equal to the specified threshold for the data label.

This function builds upon the custom column map expectations of Great Expectations. This function asks the question a yes/no question of each row in the user-specified column; namely, is the confidence threshold provided by the DataProfiler model upper bounded by the user-specified threshold.

Args:

• column (str): The column name that you want to check.
• data_label(str): The data label for which you want to check confidences against the threshold value
• threshold (float): The value, usually as a decimal (e.g. .32), you want to use to flag low confidence predictions

df.expect_column_values_confidence_for_data_label_to_be_greater_than_or_equal_to_threshold(
column,
data_label=<>,
threshold=float(0<=1)
)