Soledad Galli comments

Results 354 comments of


                                            Soledad Galli

`CountFrequencyEncoder` could have a parameter to group categories with few observations

This is the book: https://www.amazon.de/-/en/Alice-Zheng/dp/1491953241

`CountFrequencyEncoder` could have a parameter to group categories with few observations

Yes, that is correct :)

New transformer to substract datetime variables, that is support timestamp subtraction

We do want to expand the functionality of Feature-engine to work with datetime variables. See for example #67. I think that would be the first step. And then we can...

New transformer to substract datetime variables, that is support timestamp subtraction

What you say sounds right. I would have an output units argument as well. some differences might be in seconds, so fractions of the day might not be very useful....

replace concat in encoders by y_train.groupby(X_train["variable"]).mean().sort_values()

@noahjgreen295 @bmreiniger would this be an interesting issue to work on?

drop_correlated_features sets are not always correlated

Hi @FedericoMontana Thanks a lot for the suggestion. I agree that the current implementation is non-deterministic. I also see the point that not all features within the group could be...

drop_correlated_features sets are not always correlated

The link from stackabuse is about hierarchical clustering, but after a quick look it does not mention anything regarding using this method for feature selection. Personally, I have not heard...

drop_correlated_features sets are not always correlated

I am not familiar with graph theory at the moment. I would welcome references on the use of the suggested methods for feature selection. This is kind of a per-requisite...

drop_correlated_features sets are not always correlated

Hi @FedericoMontana Thanks for the info and the ideas. I am not deeply familiar with feature selection for clustering. So this is very useful. Which of the methods [in the...

drop_correlated_features sets are not always correlated

Thank @qiaott and everyone else (@FedericoMontana @kylegilde ) for discussions on this topic. Apologies @qiaott for the late response. To summarize, the issue that we are discussing is that the...