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Adding documentation and RELEASE NOTES
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# MLeap XGBoost Runtime | ||
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We provide two implementation of XGboost for use at runtime: | ||
- XGboost4j (from `ml.dmlc.xgboost4j`): this is the official C++ implementation. | ||
- XGBoost-Predictor (from `biz.k11i.xgboost-predictor`): this is a much faster implementation written directly in Java. | ||
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By default, MLeap Bundles are de-serialized into XGboost4j Booster objects. | ||
In order to use the Predictor implementation, you may: | ||
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1. Create a `resources/reference.conf` file in your project, like this: | ||
``` | ||
ml.combust.mleap.xgboost.ops = [ | ||
"ml.combust.mleap.xgboost.runtime.bundle.ops.XGBoostPredictorClassificationOp", | ||
"ml.combust.mleap.xgboost.runtime.bundle.ops.XGBoostRegressionOp" | ||
] | ||
``` | ||
2. add this to your project's pom file: | ||
``` | ||
<!-- Append our reference.conf into MLeap's reference.conf so our Ops are registered --> | ||
<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer"> | ||
<resource>reference.conf</resource> | ||
</transformer> | ||
``` |