how do we represent missing values here?
Mathieu Blondel <math...@mblondel.org> schrieb:
>On Tue, Mar 26, 2013 at 9:25 PM, Lee Zamparo <zamp...@gmail.com> wrote:
>> AFAIK, you might not want all the missing values to be imputed at
>once,
>> especially if the dimensions of X are large. Maybe something like:
>>
>>
>> X_transformed = estimator.fit_transform(X) # X contains missing
>values
>> X_subset = estimator.inverse_transform(X_transformed,row_subset) #
>impute
>> only a subset of the rows of X
>
>Can't you just do estimator.inverse_transform(X[:subset])?
>
>Mathieu
>
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