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Tutorial: evaluation of the XGBoost ensemble training fails

See original GitHub issue

Describe the bug

Running the below cell in the Regression tutorial fails:

var xgbModel = train("XGBoost",xgb,trainData);
evaluate(xgbModel,evalData);

with these results:

---------------------------------------------------------------------------
java.lang.NoClassDefFoundError: Could not initialize class ml.dmlc.xgboost4j.java.XGBoostJNI
	at ml.dmlc.xgboost4j.java.DMatrix.<init>(DMatrix.java:109)
	at org.tribuo.common.xgboost.XGBoostTrainer.convertExamples(XGBoostTrainer.java:309)
	at org.tribuo.regression.xgboost.XGBoostRegressionTrainer.train(XGBoostRegressionTrainer.java:174)
	at org.tribuo.regression.xgboost.XGBoostRegressionTrainer.train(XGBoostRegressionTrainer.java:64)
	at org.tribuo.Trainer.train(Trainer.java:44)
	at .train(#45:4)
	at .do_it$Aux(#57:1)
	at .(#57:1)

To Reproduce

Run notebook in a docker container using these steps at https://github.com/neomatrix369/awesome-ai-ml-dl/tree/master/examples/tribuo:

git clone https://github.com/neomatrix369/awesome-ai-ml-dl/tree/master/
cd awesome-ai-ml-dl/examples/tribuo
./docker-runner.sh --notebookMode --runContainer

### wait it downloads the contain and browser opens up
### or open the browser to http://localhost:8888/notebooks/tribuo/tutorials/regression-tribuo-v4.ipynb

Expected behaviour

Should have shown these results:

Training XGBoost took (00:00:00:375)
Evaluation (train):
  RMSE 0.143871
  MAE 0.097167
  R^2 0.968252
Evaluation (test):
  RMSE 0.599478
  MAE 0.426673
  R^2 0.447378

Screenshots

Screen Shot 2020-10-11 at 14 00 22

System information:

OS: Linux 6a5b46663314 4.19.76-linuxkit #1 SMP Tue May 26 11:42:35 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
Java Version: 11
JDK Vendor: openjdk version “11.0.5” 2019-10-15 OpenJDK Runtime Environment (build 11.0.5+10-jvmci-19.3-b05-LTS) OpenJDK 64-Bit GraalVM CE 19.3.0 (build 11.0.5+10-jvmci-19.3-b05-LTS, mixed mode, sharing)

** Jar versions **

tribuo-classification-experiments-4.0.0-jar-with-dependencies.jar
tribuo-core-4.0.0.jar
tribuo-json-4.0.0-jar-with-dependencies.jar
tribuo-regression-sgd-4.0.0-jar-with-dependencies.jar
tribuo-regression-tree-4.0.0-jar-with-dependencies.jar
tribuo-regression-xgboost-4.0.0-jar-with-dependencies.jar