Add rmsle metric and reg:squaredlogerror objective (#4541)

This commit is contained in:
Jiaming Yuan
2019-06-11 05:48:27 +08:00
committed by GitHub
parent 9683fd433e
commit 2f1319f273
7 changed files with 92 additions and 9 deletions

View File

@@ -31,6 +31,30 @@ TEST(Objective, DeclareUnifiedTest(LinearRegressionGPair)) {
delete obj;
}
TEST(Objective, DeclareUnifiedTest(SquaredLog)) {
xgboost::LearnerTrainParam tparam = xgboost::CreateEmptyGenericParam(0, NGPUS);
std::vector<std::pair<std::string, std::string>> args;
xgboost::ObjFunction * obj =
xgboost::ObjFunction::Create("reg:squaredlogerror", &tparam);
obj->Configure(args);
CheckObjFunction(obj,
{0.1f, 0.2f, 0.4f, 0.8f, 1.6f}, // pred
{1.0f, 1.0f, 1.0f, 1.0f, 1.0f}, // labels
{1.0f, 1.0f, 1.0f, 1.0f, 1.0f}, // weights
{-0.5435f, -0.4257f, -0.25475f, -0.05855f, 0.1009f},
{ 1.3205f, 1.0492f, 0.69215f, 0.34115f, 0.1091f});
CheckObjFunction(obj,
{0.1f, 0.2f, 0.4f, 0.8f, 1.6f}, // pred
{1.0f, 1.0f, 1.0f, 1.0f, 1.0f}, // labels
{}, // empty weights
{-0.5435f, -0.4257f, -0.25475f, -0.05855f, 0.1009f},
{ 1.3205f, 1.0492f, 0.69215f, 0.34115f, 0.1091f});
ASSERT_EQ(obj->DefaultEvalMetric(), std::string{"rmsle"});
delete obj;
}
TEST(Objective, DeclareUnifiedTest(LogisticRegressionGPair)) {
xgboost::LearnerTrainParam tparam = xgboost::CreateEmptyGenericParam(0, NGPUS);
std::vector<std::pair<std::string, std::string>> args;