GPU: Support XGBoostRegressor and XGBoostRanker #10560
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
wbo4958
changed the title
wbo4958
force-pushed
the
jvm-rewrite-gpu-rank
branch
from
5dea7b9 to
8d15912
Compare
|
Hi @trivialfis, Could you help merge this PR? |
trivialfis
reviewed
Jul 17, 2024
| // } | ||
| // | ||
| // System.out.println("--------------"); | ||
| // Float[][] features1 = { |
There was a problem hiding this comment.
Yes, they will be removed in the following PR.
wbo4958
added a commit
to wbo4958/xgboost
that referenced
this pull request
Jul 22, 2024
* [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
added a commit
to wbo4958/xgboost
that referenced
this pull request
Jul 22, 2024
* [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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.