/*! * Copyright 2018-2022 by XGBoost contributors */ #include #include #include #include #include "../../../src/common/linalg_op.h" #include "../helpers.h" namespace xgboost { namespace { inline void CheckDeterministicMetricElementWise(StringView name, int32_t device) { auto lparam = CreateEmptyGenericParam(device); std::unique_ptr metric{Metric::Create(name.c_str(), &lparam)}; HostDeviceVector predts; size_t n_samples = 2048; MetaInfo info; info.labels.Reshape(n_samples, 1); info.num_row_ = n_samples; auto &h_labels = info.labels.Data()->HostVector(); auto &h_predts = predts.HostVector(); SimpleLCG lcg; SimpleRealUniformDistribution dist{0.0f, 1.0f}; h_labels.resize(n_samples); h_predts.resize(n_samples); for (size_t i = 0; i < n_samples; ++i) { h_predts[i] = dist(&lcg); h_labels[i] = dist(&lcg); } auto result = metric->Eval(predts, info, false); for (size_t i = 0; i < 8; ++i) { ASSERT_EQ(metric->Eval(predts, info, false), result); } } } // anonymous namespace } // namespace xgboost namespace xgboost { namespace metric { TEST(Metric, DeclareUnifiedTest(RMSE)) { auto lparam = xgboost::CreateEmptyGenericParam(GPUIDX); xgboost::Metric * metric = xgboost::Metric::Create("rmse", &lparam); metric->Configure({}); ASSERT_STREQ(metric->Name(), "rmse"); EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}), 0.6403f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { -1, 1, 9, -9}), 2.8284f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { 1, 2, 9, 8}), 0.6708f, 0.001f); delete metric; xgboost::CheckDeterministicMetricElementWise(xgboost::StringView{"rmse"}, GPUIDX); } TEST(Metric, DeclareUnifiedTest(RMSLE)) { auto lparam = xgboost::CreateEmptyGenericParam(GPUIDX); xgboost::Metric * metric = xgboost::Metric::Create("rmsle", &lparam); metric->Configure({}); ASSERT_STREQ(metric->Name(), "rmsle"); EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.2f, 0.4f, 0.8f, 1.6f}, {1.0f, 1.0f, 1.0f, 1.0f, 1.0f}), 0.4063f, 1e-4); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.2f, 0.4f, 0.8f, 1.6f}, {1.0f, 1.0f, 1.0f, 1.0f, 1.0f}, { 0, -1, 1, -9, 9}), 0.6212f, 1e-4); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.2f, 0.4f, 0.8f, 1.6f}, {1.0f, 1.0f, 1.0f, 1.0f, 1.0f}, { 0, 1, 2, 9, 8}), 0.2415f, 1e-4); delete metric; xgboost::CheckDeterministicMetricElementWise(xgboost::StringView{"rmsle"}, GPUIDX); } TEST(Metric, DeclareUnifiedTest(MAE)) { auto lparam = xgboost::CreateEmptyGenericParam(GPUIDX); xgboost::Metric * metric = xgboost::Metric::Create("mae", &lparam); metric->Configure({}); ASSERT_STREQ(metric->Name(), "mae"); EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}), 0.5f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { -1, 1, 9, -9}), 8.0f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { 1, 2, 9, 8}), 0.54f, 0.001f); delete metric; xgboost::CheckDeterministicMetricElementWise(xgboost::StringView{"mae"}, GPUIDX); } TEST(Metric, DeclareUnifiedTest(MAPE)) { auto lparam = xgboost::CreateEmptyGenericParam(GPUIDX); xgboost::Metric * metric = xgboost::Metric::Create("mape", &lparam); metric->Configure({}); ASSERT_STREQ(metric->Name(), "mape"); EXPECT_NEAR(GetMetricEval(metric, {150, 300}, {100, 200}), 0.5f, 1e-10); EXPECT_NEAR(GetMetricEval(metric, {50, 400, 500, 4000}, {100, 200, 500, 1000}), 1.125f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {50, 400, 500, 4000}, {100, 200, 500, 1000}, { -1, 1, 9, -9}), -26.5f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {50, 400, 500, 4000}, {100, 200, 500, 1000}, { 1, 2, 9, 8}), 1.3250f, 0.001f); delete metric; xgboost::CheckDeterministicMetricElementWise(xgboost::StringView{"mape"}, GPUIDX); } TEST(Metric, DeclareUnifiedTest(MPHE)) { auto lparam = xgboost::CreateEmptyGenericParam(GPUIDX); std::unique_ptr metric{xgboost::Metric::Create("mphe", &lparam)}; metric->Configure({}); ASSERT_STREQ(metric->Name(), "mphe"); EXPECT_NEAR(GetMetricEval(metric.get(), {0, 1}, {0, 1}), 0, 1e-10); EXPECT_NEAR(GetMetricEval(metric.get(), {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}), 0.1751f, 1e-4); EXPECT_NEAR(GetMetricEval(metric.get(), {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { -1, 1, 9, -9}), 3.4037f, 1e-4); EXPECT_NEAR(GetMetricEval(metric.get(), {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { 1, 2, 9, 8}), 0.1922f, 1e-4); xgboost::CheckDeterministicMetricElementWise(xgboost::StringView{"mphe"}, GPUIDX); metric->Configure({{"huber_slope", "0.1"}}); EXPECT_NEAR(GetMetricEval(metric.get(), {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { 1, 2, 9, 8}), 0.0461686f, 1e-4); } TEST(Metric, DeclareUnifiedTest(LogLoss)) { auto lparam = xgboost::CreateEmptyGenericParam(GPUIDX); xgboost::Metric * metric = xgboost::Metric::Create("logloss", &lparam); metric->Configure({}); ASSERT_STREQ(metric->Name(), "logloss"); EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10); EXPECT_NEAR(GetMetricEval(metric, {0.5f, 1e-17f, 1.0f+1e-17f, 0.9f}, { 0, 0, 1, 1}), 0.1996f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}), 1.2039f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { -1, 1, 9, -9}), 21.9722f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { 1, 2, 9, 8}), 1.3138f, 0.001f); delete metric; xgboost::CheckDeterministicMetricElementWise(xgboost::StringView{"logloss"}, GPUIDX); } TEST(Metric, DeclareUnifiedTest(Error)) { auto lparam = xgboost::CreateEmptyGenericParam(GPUIDX); xgboost::Metric * metric = xgboost::Metric::Create("error", &lparam); metric->Configure({}); ASSERT_STREQ(metric->Name(), "error"); EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}), 0.5f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { -1, 1, 9, -9}), 10.0f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { 1, 2, 9, 8}), 0.55f, 0.001f); EXPECT_ANY_THROW(xgboost::Metric::Create("error@abc", &lparam)); delete metric; metric = xgboost::Metric::Create("error@0.5f", &lparam); metric->Configure({}); EXPECT_STREQ(metric->Name(), "error"); delete metric; metric = xgboost::Metric::Create("error@0.1", &lparam); metric->Configure({}); ASSERT_STREQ(metric->Name(), "error@0.1"); EXPECT_STREQ(metric->Name(), "error@0.1"); EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10); EXPECT_NEAR(GetMetricEval(metric, {-0.1f, -0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}), 0.25f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {-0.1f, -0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { -1, 1, 9, -9}), 9.0f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {-0.1f, -0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { 1, 2, 9, 8}), 0.45f, 0.001f); delete metric; xgboost::CheckDeterministicMetricElementWise(xgboost::StringView{"error@0.5"}, GPUIDX); } TEST(Metric, DeclareUnifiedTest(PoissionNegLogLik)) { auto lparam = xgboost::CreateEmptyGenericParam(GPUIDX); xgboost::Metric * metric = xgboost::Metric::Create("poisson-nloglik", &lparam); metric->Configure({}); ASSERT_STREQ(metric->Name(), "poisson-nloglik"); EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0.5f, 1e-10); EXPECT_NEAR(GetMetricEval(metric, {0.5f, 1e-17f, 1.0f+1e-17f, 0.9f}, { 0, 0, 1, 1}), 0.6263f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}), 1.1019f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { -1, 1, 9, -9}), 13.3750f, 0.001f); EXPECT_NEAR(GetMetricEval(metric, {0.1f, 0.9f, 0.1f, 0.9f}, { 0, 0, 1, 1}, { 1, 2, 9, 8}), 1.5783f, 0.001f); delete metric; xgboost::CheckDeterministicMetricElementWise(xgboost::StringView{"poisson-nloglik"}, GPUIDX); } TEST(Metric, DeclareUnifiedTest(MultiRMSE)) { size_t n_samples = 32, n_targets = 8; linalg::Tensor y{{n_samples, n_targets}, GPUIDX}; auto &h_y = y.Data()->HostVector(); std::iota(h_y.begin(), h_y.end(), 0); HostDeviceVector predt(n_samples * n_targets, 0); auto ctx = xgboost::CreateEmptyGenericParam(GPUIDX); std::unique_ptr metric{Metric::Create("rmse", &ctx)}; metric->Configure({}); auto loss = GetMultiMetricEval(metric.get(), predt, y); std::vector weights(n_samples, 1); auto loss_w = GetMultiMetricEval(metric.get(), predt, y, weights); std::transform(h_y.cbegin(), h_y.cend(), h_y.begin(), [](auto &v) { return v * v; }); auto ret = std::sqrt(std::accumulate(h_y.cbegin(), h_y.cend(), 1.0, std::plus<>{}) / h_y.size()); ASSERT_FLOAT_EQ(ret, loss); ASSERT_FLOAT_EQ(ret, loss_w); } } // namespace metric } // namespace xgboost