Added some more tests for the learner and fit_stump, for both column-wise distributed learning and vertical federated learning.
Also moved the `IsRowSplit` and `IsColumnSplit` methods from the `DMatrix` to the `MetaInfo` since in some places we only have access to the `MetaInfo`. Added a new convenience method `IsVerticalFederatedLearning`.
Some refactoring of the testing fixtures.
* Implement multi-target for hist.
- Add new hist tree builder.
- Move data fetchers for tests.
- Dispatch function calls in gbm base on the tree type.
- The new implementation is more strict as only binary labels are accepted. The previous implementation converts values greater than 1 to 1.
- Deterministic GPU. (no atomic add).
- Fix top-k handling.
- Precise definition of MAP. (There are other variants on how to handle top-k).
- Refactor GPU ranking tests.
- Define a new tree struct embedded in the `RegTree`.
- Provide dispatching functions in `RegTree`.
- Fix some c++-17 warnings about the use of nodiscard (currently we disable the warning on
the CI).
- Use uint32_t instead of size_t for `bst_target_t` as it has a defined size and can be used
as part of dmlc parameter.
- Hide the `Segment` struct inside the categorical split matrix.
* Fix CPU bin compression with categorical data.
* The bug causes the maximum category to be lesser than 256 or the maximum number of bins when
the input data is dense.
* Extract most of the functionality into `DMatrixCache`.
* Move API entry to independent file to reduce dependency on `predictor.h` file.
* Add test.
---------
Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
* Thrust 1.17 removes the experimental/pinned_allocator.
When xgboost is brought into a large project it can
be compiled against Thrust 1.17+ which don't offer
this experimental allocator.
To ensure that going forward xgboost works in all environments we provide a xgboost namespaced version of
the pinned_allocator that previously was in Thrust.
* Configuration for init estimation.
* Check whether the model needs configuration based on const attribute `ModelFitted`
instead of a mutable state.
* Add parameter `boost_from_average` to tell whether the user has specified base score.
* Add tests.
* Intoducing Column Wise Hist Building
* linting
* more linting
* bug fixing
* Removing column samping optimization for a while to simplify the review process.
* linting
* Removing unnecessary changes
* Use DispatchBinType in hist_util.cc
* Adding force_read_by column flag to buildhist. Adding tests for column wise buiilhist.
* Introducing new dispatcher for compile time flags in hist building
* fixing bug with using of DispatchBinType
* Fixing building
* Merging with master branch
Co-authored-by: dmitry.razdoburdin <drazdobu@jfldaal005.jf.intel.com>
Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
