'binary:hinge' are not supported

[Ying456123]

@vruusmann I'm converting a xgboost model to a PMML model, and find it is still not supported by jpmml-xgboost. Could you help to support it when you have time? Very appreciated. The model:

import xgboost as xgb
import numpy as np
data = np.random.rand(5, 10)  # 5 entities, each contains 10 features
label = np.random.randint(2, size=5)  # binary target
dtrain = xgb.DMatrix(data, label=label)
param = {'max_depth': 2, 'eta': 1, 'silent': 1, 'objective': 'binary:hinge'}
plst = param.items()
model = xgb.train(plst, dtrain)

[tuanvayn]

did you resolve it? I've changed by adding objective case like below but more error thrown :(

[tuanvayn]

Hi. Have someone solved?