How to treat the missing values? about xgboost-predictor-java

[xdwangh]

I found that I can set missing value as zero in file "FVec.java". However, some feature values actually are zeros.

[komiya-atsushi]

@xdwangh

You can represent missing values using Float.NaN or Double.NaN.

double[] featureValues = {
        1.0,
        Float.NaN, // missing value
        0.0,
        // ...
};

FVec fv = FVec.Transformer.fromArray(featureValues, false /* = do not treats zero as missing value */);