cc3b56fc37
* Cleanup GPU Hist tests. - Remove GPU Hist gradient sampling test. The same properties are tested in the gradient sampler test suite. - Move basic histogram tests into the histogram test suite. - Remove the header inclusion of the `updater_gpu_hist.cu` in tests.
48 lines
1.4 KiB
C++
48 lines
1.4 KiB
C++
/**
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* Copyright 2021-2024, XGBoost Contributors
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*/
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#ifndef XGBOOST_TASK_H_
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#define XGBOOST_TASK_H_
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#include <xgboost/base.h>
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#include <cstdint> // for uint8_t
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namespace xgboost {
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/*!
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* \brief A struct returned by objective, which determines task at hand. The struct is
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* not used by any algorithm yet, only for future development like categorical
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* split.
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*
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* The task field is useful for tree split finding, also for some metrics like auc.
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* Lastly, knowing whether hessian is constant can allow some optimizations like skipping
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* the quantile sketching.
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*
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* This struct should not be serialized since it can be recovered from objective function,
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* hence it doesn't need to be stable.
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*/
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struct ObjInfo {
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// What kind of problem are we trying to solve
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enum Task : std::uint8_t {
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kRegression = 0,
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kBinary = 1,
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kClassification = 2,
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kSurvival = 3,
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kRanking = 4,
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kOther = 5,
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} task;
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// Does the objective have constant hessian value?
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bool const_hess{false};
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bool zero_hess{false};
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ObjInfo(Task t) : task{t} {} // NOLINT
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ObjInfo(Task t, bool khess, bool zhess) : task{t}, const_hess{khess}, zero_hess(zhess) {}
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/**
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* \brief Use adaptive tree if the objective doesn't have valid hessian value.
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*/
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XGBOOST_DEVICE bool UpdateTreeLeaf() const { return zero_hess; }
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};
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} // namespace xgboost
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#endif // XGBOOST_TASK_H_
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