Comments (1)
I use the Python interface to read the Java-trained model and save it. Leaves also can't read it. I see that the reason for the error is that NUM_ROOT is 0.
from leaves.
Related Issues (20)
- Is there the plan for xgboost Ranker with rank:pairwise?
- Prediction result always be 0.000 HOT 1
- How complicated would it be to provide the model training part as well?
- Support for returning feature_name in Ensemble struct
- support v3 model encoding HOT 2
- is this library compatible with catboost? HOT 3
- Total incorrect python xgboost train model,use leaves load model and predict HOT 2
- NOutputGroups always be 0 HOT 9
- only version=v2 is supported HOT 1
- Could you please add support for lambdarank(lambdamart)?
- Support for newer versions of XGBoost HOT 2
- Does for the LightGBM have support for missing values
- Question: support for objective:quantile
- Support the use of sklearn pipelines with prediction model
- what's exactly meanings of some parameters?
- The prediction is wrong when using XGEnsembleFromFile to load model
- How to deal with missing values for xgboost
- Is there any way to support tweedie regression models?
- predict result different with python HOT 1
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from leaves.