Trigger an error when no missing data

[getchepare2]

Hello,

We included the miceforest imputation as the first step of our prediction pipeline. Sometimes we do not have any missing values in the input data and we would like miceforest step to act like a passthrough step for that case. However, the step fails :

163     if len(vars_with_any_missing) == 0:
164         raise ValueError("No missing values to impute.")
166 elif isinstance(self.working_data, np.ndarray):
168     if len(self.working_data.shape) != 2 or self.working_data.shape[0] < 1:

ValueError: No missing values to impute.

It would be great if we do not raise an error for that case and return the input data frame as is.

Happy to talk more about that case if needed :)

[AnotherSamWilson]

This is a good suggestion.

[AnotherSamWilson]

This has been completed as a part of 5.6.3, but it won't be on PyPi for a few days. You can install from this git repo if you want to see if the changes worked. I plan on fixing a few other issues as well for 5.6.3.