Can Soft Impute be used for non-numeric part of a dataset?

[ambareeshsrja16]

Can Soft Impute be used for values other than numeric? Say Categorical (e.g - Race, Sex, Marital Status etc) Some imputation procedures do this by replacing the categorical variables with a dummy variable that takes numeric values (say Male - 2, Female - 1, Other- 0) and perform imputation. Does Soft Impute do something similar?

[sergeyf]

Gotta do your own numerical conversion - we don't do that for you.

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On Tue, May 14, 2019, 1:34 PM Ambareesh S N Jayakumari < ***@***.***> wrote: Can Soft Impute be used for values other than numeric? Say Categorical (e.g - Race, Sex, Marital Status etc) Some imputation procedures do this by replacing the categorical variables with a dummy variable that takes numeric values (say Male - 2, Female - 1, Other- 0) and perform imputation. Does Soft Impute do something similar? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#103?email_source=notifications&email_token=AAOJV3ERDVSMDVORA343YF3PVMO4BA5CNFSM4HM5N3ZKYY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4GTYTS3A>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAOJV3CBZKKNONSTNBUDL2TPVMO4BANCNFSM4HM5N3ZA> .

[ambareeshsrja16]

Alright, thank you!