xgboost/tests/cpp/common/test_numeric.cc
Jiaming Yuan fffb1fca52
Calculate base_score based on input labels for mae. (#8107)
Fit an intercept as base score for abs loss.
2022-09-20 20:53:54 +08:00

44 lines
1.2 KiB
C++

/*!
* Copyright 2022, XGBoost contributors.
*/
#include <gtest/gtest.h>
#include <numeric>
#include "../../../src/common/numeric.h"
namespace xgboost {
namespace common {
TEST(Numeric, PartialSum) {
{
std::vector<size_t> values{1, 2, 3, 4};
std::vector<size_t> result(values.size() + 1);
Context ctx;
PartialSum(ctx.Threads(), values.begin(), values.end(), static_cast<size_t>(0), result.begin());
std::vector<size_t> sol(values.size() + 1, 0);
std::partial_sum(values.begin(), values.end(), sol.begin() + 1);
ASSERT_EQ(sol, result);
}
{
std::vector<double> values{1.5, 2.5, 3.5, 4.5};
std::vector<double> result(values.size() + 1);
Context ctx;
PartialSum(ctx.Threads(), values.begin(), values.end(), 0.0, result.begin());
std::vector<double> sol(values.size() + 1, 0.0);
std::partial_sum(values.begin(), values.end(), sol.begin() + 1);
ASSERT_EQ(sol, result);
}
}
TEST(Numeric, Reduce) {
Context ctx;
ASSERT_TRUE(ctx.IsCPU());
HostDeviceVector<float> values(20);
auto& h_values = values.HostVector();
std::iota(h_values.begin(), h_values.end(), 0.0f);
auto sum = Reduce(&ctx, values);
ASSERT_EQ(sum, (values.Size() - 1) * values.Size() / 2);
}
} // namespace common
} // namespace xgboost