* - ndcg ltr implementation on gpu - this is a follow-up to the pairwise ltr implementation
109 lines
3.6 KiB
C++
109 lines
3.6 KiB
C++
// Copyright by Contributors
|
|
#include <xgboost/objective.h>
|
|
#include <xgboost/generic_parameters.h>
|
|
#include "../helpers.h"
|
|
#include <xgboost/json.h>
|
|
|
|
namespace xgboost {
|
|
|
|
TEST(Objective, DeclareUnifiedTest(PairwiseRankingGPair)) {
|
|
std::vector<std::pair<std::string, std::string>> args;
|
|
xgboost::GenericParameter lparam = xgboost::CreateEmptyGenericParam(GPUIDX);
|
|
|
|
std::unique_ptr<xgboost::ObjFunction> obj {
|
|
xgboost::ObjFunction::Create("rank:pairwise", &lparam)
|
|
};
|
|
obj->Configure(args);
|
|
CheckConfigReload(obj, "rank:pairwise");
|
|
|
|
// Test with setting sample weight to second query group
|
|
CheckRankingObjFunction(obj,
|
|
{0, 0.1f, 0, 0.1f},
|
|
{0, 1, 0, 1},
|
|
{2.0f, 0.0f},
|
|
{0, 2, 4},
|
|
{1.9f, -1.9f, 0.0f, 0.0f},
|
|
{1.995f, 1.995f, 0.0f, 0.0f});
|
|
|
|
CheckRankingObjFunction(obj,
|
|
{0, 0.1f, 0, 0.1f},
|
|
{0, 1, 0, 1},
|
|
{1.0f, 1.0f},
|
|
{0, 2, 4},
|
|
{0.95f, -0.95f, 0.95f, -0.95f},
|
|
{0.9975f, 0.9975f, 0.9975f, 0.9975f});
|
|
|
|
ASSERT_NO_THROW(obj->DefaultEvalMetric());
|
|
}
|
|
|
|
TEST(Objective, DeclareUnifiedTest(NDCG_Json_IO)) {
|
|
xgboost::GenericParameter tparam;
|
|
tparam.UpdateAllowUnknown(Args{});
|
|
|
|
std::unique_ptr<xgboost::ObjFunction> obj {
|
|
xgboost::ObjFunction::Create("rank:ndcg", &tparam)
|
|
};
|
|
|
|
obj->Configure(Args{});
|
|
Json j_obj {Object()};
|
|
obj->SaveConfig(&j_obj);
|
|
|
|
ASSERT_EQ(get<String>(j_obj["name"]), "rank:ndcg");;
|
|
|
|
auto const& j_param = j_obj["lambda_rank_param"];
|
|
|
|
ASSERT_EQ(get<String>(j_param["num_pairsample"]), "1");
|
|
ASSERT_EQ(get<String>(j_param["fix_list_weight"]), "0");
|
|
}
|
|
|
|
TEST(Objective, DeclareUnifiedTest(PairwiseRankingGPairSameLabels)) {
|
|
std::vector<std::pair<std::string, std::string>> args;
|
|
xgboost::GenericParameter lparam = xgboost::CreateEmptyGenericParam(GPUIDX);
|
|
|
|
std::unique_ptr<ObjFunction> obj {
|
|
ObjFunction::Create("rank:pairwise", &lparam)
|
|
};
|
|
obj->Configure(args);
|
|
// No computation of gradient/hessian, as there is no diversity in labels
|
|
CheckRankingObjFunction(obj,
|
|
{0, 0.1f, 0, 0.1f},
|
|
{1, 1, 1, 1},
|
|
{2.0f, 0.0f},
|
|
{0, 2, 4},
|
|
{0.0f, 0.0f, 0.0f, 0.0f},
|
|
{0.0f, 0.0f, 0.0f, 0.0f});
|
|
|
|
ASSERT_NO_THROW(obj->DefaultEvalMetric());
|
|
}
|
|
|
|
TEST(Objective, DeclareUnifiedTest(NDCGRankingGPair)) {
|
|
std::vector<std::pair<std::string, std::string>> args;
|
|
xgboost::GenericParameter lparam = xgboost::CreateEmptyGenericParam(GPUIDX);
|
|
|
|
std::unique_ptr<xgboost::ObjFunction> obj {
|
|
xgboost::ObjFunction::Create("rank:ndcg", &lparam)
|
|
};
|
|
obj->Configure(args);
|
|
CheckConfigReload(obj, "rank:ndcg");
|
|
|
|
// Test with setting sample weight to second query group
|
|
CheckRankingObjFunction(obj,
|
|
{0, 0.1f, 0, 0.1f},
|
|
{0, 1, 0, 1},
|
|
{2.0f, 0.0f},
|
|
{0, 2, 4},
|
|
{0.7f, -0.7f, 0.0f, 0.0f},
|
|
{0.74f, 0.74f, 0.0f, 0.0f});
|
|
|
|
CheckRankingObjFunction(obj,
|
|
{0, 0.1f, 0, 0.1f},
|
|
{0, 1, 0, 1},
|
|
{1.0f, 1.0f},
|
|
{0, 2, 4},
|
|
{0.35f, -0.35f, 0.35f, -0.35f},
|
|
{0.368f, 0.368f, 0.368f, 0.368f});
|
|
ASSERT_NO_THROW(obj->DefaultEvalMetric());
|
|
}
|
|
|
|
} // namespace xgboost
|