[jvm-packages] Rewrite xgboost jvm packages #10416
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Hi, huge thanks for working on this. Could you please do a small write-up for the new implementation? We haven't heard about the details of it yet. It would be great if you could write an introduction in a tour style with examples, along with potential breaking changes, etc. |
Support dataset as the eval
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Merging into the jvm branch. We will do the reviews and tests when the branch is ready. |
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* [jvm-packages] Rewrite xgboost jvm packages (dmlc#10416) * [jvm-packages] Rewrite xgboost jvm packages * Support uber jar for xgboost4j-spark * Remove linking for xgboost4j-gpu * move the library into xgboost4j instead of xgboost4j-gpu * Remove xgboost4j-gpu, move them into xgboost4j-spark-gpu * update * format * plugin for gpu * the initial xgboost-spark-gpu can work * rearchitecture * Support dataset eval (#10) Support dataset as the eval * Support missing value and add tests. (#11) * Support base margin and add more tests (#12) * Support customized objective (#13) * Support more tests (#14) * Support vector transform and more tests. (#15) * Support feature names and feature types (#16) * extends ProbabilisticClassifier (#17) * remove the old model in test (#18) * support gpu transform (#19) * fix test (#20) * Rewrite cudf column and cudf column batch. (#21) * Support missing for DMatrix creating from Databatch iterator and fix binary transform (dmlc#10495) * Support XGBoostRanker and XGBoostRegressor (dmlc#10505) * Gpu: Support rank and regressor (dmlc#10560) * support shading gpu * install the shader package * Support scala 2.13
wbo4958
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* [jvm-packages] Rewrite xgboost jvm packages (dmlc#10416) * [jvm-packages] Rewrite xgboost jvm packages * Support uber jar for xgboost4j-spark * Remove linking for xgboost4j-gpu * move the library into xgboost4j instead of xgboost4j-gpu * Remove xgboost4j-gpu, move them into xgboost4j-spark-gpu * update * format * plugin for gpu * the initial xgboost-spark-gpu can work * rearchitecture * Support dataset eval (#10) Support dataset as the eval * Support missing value and add tests. (#11) * Support base margin and add more tests (#12) * Support customized objective (#13) * Support more tests (#14) * Support vector transform and more tests. (#15) * Support feature names and feature types (#16) * extends ProbabilisticClassifier (#17) * remove the old model in test (#18) * support gpu transform (#19) * fix test (#20) * Rewrite cudf column and cudf column batch. (#21) * Support missing for DMatrix creating from Databatch iterator and fix binary transform (dmlc#10495) * Support XGBoostRanker and XGBoostRegressor (dmlc#10505) * Gpu: Support rank and regressor (dmlc#10560) * support shading gpu * install the shader package * Support scala 2.13
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To fix #10415