Commit Graph

1814 Commits

Author SHA1 Message Date
Jiaming Yuan
56b1868278 Fix compilation with the latest ctk. (#10123) 2024-03-15 08:04:41 +08:00
Hui Liu
968dbf25fb merge latest changes 2024-03-12 09:13:09 -07:00
Jiaming Yuan
1450aebb74 Fix pairwise objective with NDCG metric along with custom gain. (#10100)
* Fix pairwise objective with NDCG metric.

- Allow setting `ndcg_exp_gain` for `rank:pairwise`.

This is useful when using pairwise for objective but ndcg for metric.
2024-03-11 14:54:10 +08:00
Jiaming Yuan
2c13f90384 Support graphviz plot for multi-target tree. (#10093) 2024-03-09 05:35:25 +08:00
Jiaming Yuan
e14c3b9325 Optional normalization for learning to rank. (#10094) 2024-03-08 12:41:21 +08:00
Jiaming Yuan
3941b31ade Disable column sample by node for the exact tree method. (#10083) 2024-03-01 14:16:10 +08:00
Jiaming Yuan
8189126d51 Add CUDA iterator to tensor view. (#10074) 2024-03-01 14:15:31 +08:00
Jiaming Yuan
5ac233280e Require context in aggregators. (#10075) 2024-02-28 03:12:42 +08:00
Jiaming Yuan
0ce4372bd4 Use UBJSON for serializing splits for vertical data split. (#10059) 2024-02-25 00:18:23 +08:00
Jiaming Yuan
2e4ea5ecc0 Support f64 for ubjson. (#10055) 2024-02-21 02:18:42 +08:00
Jiaming Yuan
d37b83e8d9 Fix UBJSON with boolean value. (#10054) 2024-02-20 22:13:51 +08:00
david-cortes
6e3c899ba7 [R] Don't cap global number of threads for serialization (#10028) 2024-02-20 11:13:00 +08:00
Louis Desreumaux
edf501d227 Implement contribution prediction with QuantileDMatrix (#10043)
---------

Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
2024-02-19 21:03:29 +08:00
david-cortes
a730c7e67e [R] allow using seed with regular RNG (#10029) 2024-02-04 16:22:22 +08:00
Hui Liu
44db1cef54 Merge branch 'master' into sync-2024Jan24 2024-02-01 14:41:48 -08:00
Philip Hyunsu Cho
4dfbe2a893 [CI] Test building for 32-bit arch (#10021)
* [CI] Test building for 32-bit arch

* Update CMakeLists.txt

* Fix yaml

* Use Debian container

* Remove -Werror for 32-bit

* Revert "Remove -Werror for 32-bit"

This reverts commit c652bc6a037361bcceaf56fb01863210b462793d.

* Don't error for overloaded-virtual warning

* Ignore some warnings from dmlc-core

* Fix compiler warnings

* Fix formatting

* Apply suggestions from code review

Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>

* Add more cast

---------

Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
2024-01-31 13:20:51 -08:00
Hui Liu
2cb579ff3c fix memory type 2024-01-26 15:46:42 -08:00
Jiaming Yuan
a76d6c6131 Fix cpp deprecation. (#10010) 2024-01-26 02:13:40 +08:00
Philip Hyunsu Cho
c8f5d190c6 [CI] Stop Windows pipeline upon a failing pytest (#10003) 2024-01-24 22:54:21 -08:00
Hui Liu
3fe874078c merge latest changes 2024-01-24 13:30:08 -08:00
Hui Liu
069cf1d019 use __HIPCC__ for device code 2024-01-24 11:30:01 -08:00
Hui Liu
1e0ccf7b87 fix random 2024-01-21 12:48:41 -08:00
Jiaming Yuan
cacb4b1fdd Fix gain calculation in multi-target tree. (#9978) 2024-01-17 13:18:44 +08:00
Jiaming Yuan
85d09245f6 Fix error handling in the event loop. (#9990) 2024-01-17 05:35:35 +08:00
Hui Liu
9759e28e6a compiler errors fix 2024-01-12 12:09:01 -08:00
Hui Liu
1e1e8be3a5 merge latest, Jan 12 2024 2024-01-12 09:57:11 -08:00
Hui Liu
c42c7d99f1 fix memoryType 2024-01-11 14:10:30 -08:00
Jiaming Yuan
2f57bbde3c Additional tests for attributes and model booosted rounds. (#9962) 2024-01-09 09:54:39 +08:00
Jiaming Yuan
38dd91f491 Save model in ubj as the default. (#9947) 2024-01-05 17:53:36 +08:00
Jiaming Yuan
c03a4d5088 Check support status for categorical features. (#9946) 2024-01-04 16:51:33 +08:00
Jiaming Yuan
621348abb3 Fix multi-output with alternating strategies. (#9933)
---------

Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
2024-01-04 16:41:13 +08:00
david-cortes
3c004a4145 [R] Add missing DMatrix functions (#9929)
* `XGDMatrixGetQuantileCut`
* `XGDMatrixNumNonMissing`
* `XGDMatrixGetDataAsCSR`

---------

Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
2024-01-03 17:29:21 +08:00
Jiaming Yuan
a7226c0222 Fix feature names with special characters. (#9923) 2023-12-28 22:45:13 +08:00
Hui Liu
2d7ffbdf3d merge latest changes 2023-12-13 21:06:28 -08:00
Dmitry Razdoburdin
43897b8296 Sycl implementation for objective functions (#9846)
---------

Co-authored-by: Dmitry Razdoburdin <>
2023-12-12 14:41:50 +08:00
Jiaming Yuan
faf0f2df10 Support dataframe data format in native XGBoost. (#9828)
- Implement a columnar adapter.
- Refactor Python pandas handling code to avoid converting into a single numpy array.
- Add support in R for transforming columns.
- Support R data.frame and factor type.
2023-12-12 09:56:31 +08:00
Jiaming Yuan
42de9206fc Support multi-target, fit intercept for hinge. (#9850) 2023-12-08 05:50:41 +08:00
Jiaming Yuan
39c637ee19 Use array interface in Python prediction return. (#9855) 2023-12-08 03:42:14 +08:00
Dmitry Razdoburdin
381f1d3dc9 Add support inference on SYCL devices (#9800)
---------

Co-authored-by: Dmitry Razdoburdin <>
Co-authored-by: Nikolay Petrov <nikolay.a.petrov@intel.com>
Co-authored-by: Alexandra <alexandra.epanchinzeva@intel.com>
2023-12-04 16:15:57 +08:00
Jiaming Yuan
8fe1a2213c Cleanup code for distributed training. (#9805)
* Cleanup code for distributed training.

- Merge `GetNcclResult` into nccl stub.
- Split up utilities from the main dask module.
- Let Channel return `Result` to accommodate nccl channel.
- Remove old `use_label_encoder` parameter.
2023-11-25 09:10:56 +08:00
Jiaming Yuan
1877cb8e83 Change default metric for gamma regression to deviance. (#9757)
* Change default metric for gamma regression to deviance.

- Cleanup the gamma implementation.
- Use deviance instead since the objective is derived from deviance.
2023-11-22 21:17:48 +08:00
Jiaming Yuan
0715ab3c10 Use dlopen to load NCCL. (#9796)
This PR adds optional support for loading nccl with `dlopen` as an alternative of compile time linking. This is to address the size bloat issue with the PyPI binary release.
- Add CMake option to load `nccl` at runtime.
- Add an NCCL stub.

After this, `nccl` will be fetched from PyPI when using pip to install XGBoost, either by a user or by `pyproject.toml`. Others who want to link the nccl at compile time can continue to do so without any change.

At the moment, this is Linux only since we only support MNMG on Linux.
2023-11-22 19:27:31 +08:00
Jiaming Yuan
fedd9674c8 Implement column sampler in CUDA. (#9785)
- CUDA implementation.
- Extract the broadcasting logic, we will need the context parameter after revamping the collective implementation.
- Some changes to the event loop for fixing a deadlock in CI.
- Move argsort into algorithms.cuh, add support for cuda stream.
2023-11-17 04:29:08 +08:00
Jiaming Yuan
ada377c57e [coll] Reduce the scope of lock in the event loop. (#9784) 2023-11-15 14:16:19 +08:00
Jiaming Yuan
44099f585d [coll] Add C API for the tracker. (#9773) 2023-11-08 18:17:14 +08:00
Jiaming Yuan
06bdc15e9b [coll] Pass context to various functions. (#9772)
* [coll] Pass context to various functions.

In the future, the `Context` object would be required for collective operations, this PR
passes the context object to some required functions to prepare for swapping out the
implementation.
2023-11-08 09:54:05 +08:00
Jiaming Yuan
6c0a190f6d [coll] Add comm group. (#9759)
- Implement `CommGroup` for double dispatching.
- Small cleanup to tracker for handling abort.
2023-11-07 11:12:31 +08:00
Hui Liu
c81731308c fix RCCL 2023-11-02 16:39:24 -07:00
Hui Liu
51efb7442e support HIP for half in coll 2023-11-02 10:53:12 -07:00
Hui Liu
3af5dfd546 Merge branch 'master' 2023-11-02 09:05:31 -07:00