Description Usage Arguments Details
Impute missing values using a previously trained H2O Random Forest model
1 | h2o_predict_impute(info, var)
|
info |
h2o data frame |
var |
String containing the name of the variable to be imputed |
This function assumes that the h2o cluster has already been initialized and that the data has already been loaded to the h2o cluster. To protect against errors it is not exported.
H2O's Random Forests interpret missingness in the input as containing information and therefore the output will have values for all inputs, regardless of the missingness of the input.
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