Comments (4)
Tribuo doesn't expose the XGBoost4J Booster
class that you could use to save it following the XGBoost4J instructions. You can serialise Tribuo models directly via an ObjectOutputStream
and deserialise them using an ObjectInputStream
. Unfortunately in v4.0.1 regression model serialization is broken (see #67), but that's fixed in the main
branch and v4.0.2 which is coming very soon.
If you want to train the model in Tribuo and load it in another system then we're considering ONNX export support. We can look at exposing the internal Boosters too.
from tribuo.
how can I export using ONNX?
from tribuo.
You can't yet. The onnx model converters are all written in python, so we need to figure out how to build equivalent operations in Java using the onnx c API.
However PR #79 does expose the internal Booster objects so you can save those using the XGBoost4J API.
from tribuo.
Ok, thanks, I will try.
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Related Issues (20)
- Error on irises-tribuo-v4.ipynb HOT 1
- TransformedModel doesn't have a protobuf
- mRMR HOT 1
- FS using wrapper approaches HOT 7
- Docs recommending IJava HOT 2
- Problem deserializing the XGBoostModel HOT 1
- Do you have any plans to support time-series predictions? HOT 1
- When packaged into docker container: FileNotFoundException: File /lib/linux-musl/x86_64/libxgboost4j.so HOT 6
- Memory and SQLDataSource HOT 1
- About csvLoader.loadDataSource HOT 4
- Configuring HyperParameters HOT 4
- Question about input feature mapping HOT 9
- Llama APIs HOT 1
- Load data from List obj in memory HOT 1
- MLP HOT 1
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- Training loss HOT 1
- Weight and Bias in NN HOT 3
- HDBSCAN implementation in 4.3+ HOT 4
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