Organization Name
Verizon
Description
Enable users the ability to enter their own values or own calculations to use for categorical column imputation of missing values when using ML training scripts in data flows.
Use Case and Business Need
Our data sets vary a lot and using the default options for imputation of missing values (most frequent or less frequent) most often do not meet our needs. We need to be able to enter our own values/calculations and be restricted to on the current two options.
More details
Current options for categorical column imputation of missing values are limited to "most frequent" and "less frequent only".
Original Idea Number: bfe95ef2d4
