* Refactor configuration [Part II].
* General changes:
** Remove `Init` methods to avoid ambiguity.
** Remove `Configure(std::map<>)` to avoid redundant copying and prepare for
parameter validation. (`std::vector` is returned from `InitAllowUnknown`).
** Add name to tree updaters for easier debugging.
* Learner changes:
** Make `LearnerImpl` the only source of configuration.
All configurations are stored and carried out by `LearnerImpl::Configure()`.
** Remove booster in C API.
Originally kept for "compatibility reason", but did not state why. So here
we just remove it.
** Add a `metric_names_` field in `LearnerImpl`.
** Remove `LazyInit`. Configuration will always be lazy.
** Run `Configure` before every iteration.
* Predictor changes:
** Allocate both cpu and gpu predictor.
** Remove cpu_predictor from gpu_predictor.
`GBTree` is now used to dispatch the predictor.
** Remove some GPU Predictor tests.
* IO
No IO changes. The binary model format stability is tested by comparing
hashing value of save models between two commits
30 lines
1.2 KiB
C++
30 lines
1.2 KiB
C++
// Copyright by Contributors
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#include <xgboost/objective.h>
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#include <xgboost/generic_parameters.h>
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#include <limits>
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#include "../helpers.h"
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TEST(Objective, DeclareUnifiedTest(HingeObj)) {
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xgboost::GenericParameter tparam = xgboost::CreateEmptyGenericParam(0, NGPUS);
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("binary:hinge", &tparam);
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xgboost::bst_float eps = std::numeric_limits<xgboost::bst_float>::min();
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CheckObjFunction(obj,
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{-1.0f, -0.5f, 0.5f, 1.0f, -1.0f, -0.5f, 0.5f, 1.0f},
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{ 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 1.0f},
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{ 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f},
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{ 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, 0.0f},
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{ eps, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, eps });
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CheckObjFunction(obj,
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{-1.0f, -0.5f, 0.5f, 1.0f, -1.0f, -0.5f, 0.5f, 1.0f},
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{ 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 1.0f},
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{}, // Empty weight.
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{ 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, 0.0f},
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{ eps, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, eps });
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ASSERT_NO_THROW(obj->DefaultEvalMetric());
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delete obj;
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}
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