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