Specifying Custom Missing Value Representations

There may be cases in which you have missing values in your data, but you represent these values in a special way (other than the standard NaN).

In such cases, Fiddler offers a way to specify your own missing value representations for each column.

You can modify your fdl.ModelSchema object just before before onboarding your model to include details about which values should be replaced with nulls within Fiddler.

model.schema['my_column'].replace_with_nulls = [
  'value_to_replace',
  'value_to_replace_2',
  'value_to_replace_3'
]