Philip Hyunsu Cho
2070afea02
[CI] Rotate package repository keys ( #7943 )
2022-05-26 17:06:46 -07:00
Jiaming Yuan
18cbebaeb9
Unify the cat split storage for CPU. ( #7937 )
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* Unify the cat split storage for CPU.
* Cleanup.
* Workaround.
2022-05-26 04:14:40 -07:00
Daniel Clausen
755d9d4609
[JVM-Packages] Auto-detection of MUSL is replaced by system properties ( #7921 )
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This PR removes auto-detection of MUSL-based Linux systems in favor of system properties the user can set to configure a specific path for a native library.
2022-05-26 10:53:15 +08:00
Jiaming Yuan
606be9e663
Handle missing values in one hot splits. ( #7934 )
2022-05-24 20:48:41 +08:00
Jiaming Yuan
18a38f7ca0
Refactor for GHistIndex. ( #7923 )
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* Pass sparse page as adapter, which prepares for quantile dmatrix.
* Remove old external memory code like `rbegin` and extra `Init` function.
* Simplify type dispatch.
2022-05-23 23:04:53 +08:00
Jiaming Yuan
d314680a15
Verify shared object version at load. ( #7928 )
2022-05-23 20:53:30 +08:00
Jiaming Yuan
474366c020
Add convergence test for sparse datasets. ( #7922 )
2022-05-23 18:07:26 +08:00
Rory Mitchell
f6babc814c
Do not initialise data structures to maximum possible tree size. ( #7919 )
2022-05-19 19:45:53 +02:00
Philip Hyunsu Cho
6f424d8d6c
[Doc] Warn against loading JSON from external source ( #7918 )
2022-05-18 17:02:36 -07:00
Jiaming Yuan
f93a727869
Address remaining mypy errors in python package. ( #7914 )
2022-05-18 22:46:15 +08:00
Jiaming Yuan
edf9a9608e
Fix type conversion warning. ( #7916 )
2022-05-18 20:14:14 +08:00
Jiaming Yuan
765097d514
Simplify inplace-predict. ( #7910 )
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Pass the `X` as part of Proxy DMatrix instead of an independent `dmlc::any`.
2022-05-18 17:52:00 +08:00
Jiaming Yuan
19775ffe15
Use adapter to initialize column matrix. ( #7912 )
2022-05-18 16:15:12 +08:00
Bobby Wang
5ef33adf68
[jvm-packges] set the correct objective if user doesn't explicitly set it ( #7781 )
2022-05-18 14:05:18 +08:00
Chengyang
806c92c80b
Add Type Hints for Python Package ( #7742 )
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Co-authored-by: Chengyang Gu <bridgream@gmail.com>
Co-authored-by: Jiamingy <jm.yuan@outlook.com>
2022-05-17 22:14:09 +08:00
Rory Mitchell
71d3b2e036
Fuse gpu_hist all-reduce calls where possible ( #7867 )
2022-05-17 13:27:50 +02:00
Bobby Wang
b41cf92dc2
[jvm-packages] move dmatrix building into rabit context for cpu pipeline ( #7908 )
2022-05-17 14:52:25 +08:00
Rong Ou
77d4a53c32
use RabitContext intead of init/finalize ( #7911 )
2022-05-17 12:15:41 +08:00
Jiaming Yuan
4fcfd9c96e
Fix and cleanup for column matrix. ( #7901 )
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* Fix missed type dispatching for dense columns with missing values.
* Code cleanup to reduce special cases.
* Reduce memory usage.
2022-05-16 21:11:50 +08:00
Bobby Wang
1496789561
[doc] update the doc for jvm model compatibility ( #7907 )
2022-05-16 14:05:26 +08:00
Sze Yeung
a06d53688c
Correct a mistake in Setting Parameters section ( #7905 )
2022-05-15 18:56:31 -07:00
Philip Hyunsu Cho
4cd14aee5a
Rename misspelled config parameter for pseudo-Huber ( #7904 )
2022-05-15 06:38:33 -07:00
Jiaming Yuan
1baad8650c
Small cleanup to Column. ( #7898 )
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* Define forward iterator to hide the internal state.
2022-05-15 12:39:10 +08:00
Jiaming Yuan
ee382c4153
Update news for 1.6.1 ( #7877 )
2022-05-14 15:38:18 -07:00
Rong Ou
af907e2d0d
Demo of federated learning using NVFlare ( #7879 )
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Co-authored-by: jiamingy <jm.yuan@outlook.com>
2022-05-14 22:45:41 +08:00
Bobby Wang
11e46e4bc0
[Breaking][jvm-packages] make classification model be xgboost-compatible ( #7896 )
2022-05-14 15:43:05 +08:00
Jiaming Yuan
1b6538b4e5
[breaking] Drop single precision histogram ( #7892 )
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Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
2022-05-13 19:54:55 +08:00
Jiaming Yuan
c8f9d4b6e6
Show libxgboost.so path in build info. ( #7893 )
2022-05-13 18:08:56 +08:00
Bobby Wang
9fa7ed1743
[Breaking][jvm-packages] remove timeoutRequestWorkers parameter ( #7839 )
2022-05-13 16:26:25 +08:00
Jiaming Yuan
11d65fcb21
Extract partial sum into an independent function. ( #7889 )
2022-05-13 14:30:35 +08:00
Jiaming Yuan
db80671d6b
Fix monotone constraint with tuple input. ( #7891 )
2022-05-13 04:00:03 +08:00
Jiaming Yuan
94ca52b7b7
Fix overflow in prediction size. ( #7885 )
2022-05-12 02:44:03 +08:00
Jiaming Yuan
8ba4722d04
Remove pyarrow workaround. ( #7884 )
2022-05-11 20:54:48 +08:00
Philip Hyunsu Cho
65e6d73b95
[CI] Automate artifact fetch step in JVM release process ( #7882 )
2022-05-11 00:35:22 -07:00
Jiaming Yuan
16ba74d008
Update CUDA version requirement in CMake script. ( #7876 )
2022-05-09 04:16:22 +08:00
Philip Hyunsu Cho
d2bc0f0f08
Allow loading old models from RDS ( #7864 )
2022-05-06 22:49:38 -07:00
Amit Bera
1823db53f2
updated winning solution under readme.md ( #7862 )
2022-05-06 17:38:07 +08:00
Rory Mitchell
7ef54e39ec
Small refactor to categoricals ( #7858 )
2022-05-05 17:47:02 +02:00
Rong Ou
14ef38b834
Initial support for federated learning ( #7831 )
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Federated learning plugin for xgboost:
* A gRPC server to aggregate MPI-style requests (allgather, allreduce, broadcast) from federated workers.
* A Rabit engine for the federated environment.
* Integration test to simulate federated learning.
Additional followups are needed to address GPU support, better security, and privacy, etc.
2022-05-05 21:49:22 +08:00
Jiaming Yuan
46e0bce212
Use maximum category in sketch. ( #7853 )
2022-05-05 19:56:49 +08:00
Jiaming Yuan
8ab5e13b5d
Fix typo [skip ci] ( #7861 )
2022-05-04 18:34:45 +08:00
Jiaming Yuan
317d7be6ee
Always use partition based categorical splits. ( #7857 )
2022-05-03 22:30:32 +08:00
Rory Mitchell
90cce38236
Remove single_precision_histogram for gpu_hist ( #7828 )
2022-05-03 14:53:19 +02:00
Jiaming Yuan
50d854e02e
[CI] Test with latest RAPIDS. ( #7816 )
2022-04-30 11:55:10 -07:00
Bobby Wang
1b103e1f5f
[CI] make container be able to re-attached ( #7848 )
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When re-starting the container, it will fail in entrypoint.sh which
will exit when adding an existing group or user
2022-04-29 19:00:35 -07:00
Jiaming Yuan
288c52596c
Define bin type. ( #7850 )
2022-04-29 19:41:39 +08:00
Michael Allman
f7db16add1
Ignore all Java exceptions when looking for Linux musl support ( #7844 )
2022-04-28 15:44:30 +08:00
Bobby Wang
a94e1b172e
[jvm-packages] Fix model compatibility ( #7845 )
2022-04-28 02:05:38 +08:00
Bobby Wang
686caad40c
[jvm-package] remove the coalesce in barrier mode ( #7846 )
2022-04-27 23:34:22 +08:00
Jiaming Yuan
fdf533f2b9
[POC] Experimental support for l1 error. ( #7812 )
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Support adaptive tree, a feature supported by both sklearn and lightgbm. The tree leaf is recomputed based on residue of labels and predictions after construction.
For l1 error, the optimal value is the median (50 percentile).
This is marked as experimental support for the following reasons:
- The value is not well defined for distributed training, where we might have empty leaves for local workers. Right now I just use the original leaf value for computing the average with other workers, which might cause significant errors.
- Some follow-ups are required, for exact, pruner, and optimization for quantile function. Also, we need to calculate the initial estimation.
2022-04-26 21:41:55 +08:00
